Search: genetic


Event

country_flag Mednarodni posvet Biološka znanost in družba: GENIalna prihodnost - genetika, determinizem in svoboda / International Conference Bioscience and Society: GENIal future – genetics, determinism and freedom
  • svoboda / International Conference Bioscience and Society: GENIal future – genetics, determinism and
  • polimerazo in računalniško podprte tehnologije / Determination of Personal Identity on the Basis of Genetic
  • Genetika, zasebnost in diskriminacija – raba in zloraba informacij / Genetics, Privacy and
  • Gensko spremenjene rastline / Genetically Modified Plants

Lectures

country_flag Introduction to Cancer Genetics
Robert A. Weinberg, 2006   (654 views)
@ MIT World Series: Fundamentals of Cancer Research

  • Introduction to Cancer Genetics
  • --  other researchers are delving at the molecular and genetic level to understand why and how this single
  • --  genetic alternations can come about, it’s a relief that as many as five changes are required to convert a
  • --  therapies attempt to capitalize on advancing knowledge of genetic and cellular networks. Weinberg points to

country_flag Lecture 6: Genetics 1
Eric S. Lander, 2004   (6317 views)
@ MIT 7.012 Introduction to Biology - Fall 2004

  • Lecture 6: Genetics 1

country_flag Lecture 9: Human Genetics
Eric S. Lander, 2004   (1148 views)
@ MIT 7.012 Introduction to Biology - Fall 2004

  • Lecture 9: Human Genetics

country_flag Lecture 8: Genetics 3
Eric S. Lander, 2004   (1125 views)
@ MIT 7.012 Introduction to Biology - Fall 2004

  • Lecture 8: Genetics 3

country_flag Lecture 7: Genetics 2
Eric S. Lander, 2004   (2201 views)
@ MIT 7.012 Introduction to Biology - Fall 2004

  • Lecture 7: Genetics 2

country_flag Lecture 21: Mendelian Genetics
Graham Walker, 2005   (26 views)
@ MIT 7.014 Introductory Biology - Spring 2005

  • Lecture 21: Mendelian Genetics

country_flag Lecture 15: Bacterial Genetics
Graham Walker, 2005   (24 views)
@ MIT 7.014 Introductory Biology - Spring 2005

  • Lecture 15: Bacterial Genetics

country_flag Lecture 23: Diploid Genetics
Graham Walker, 2005   (22 views)
@ MIT 7.014 Introductory Biology - Spring 2005

  • Lecture 23: Diploid Genetics

country_flag Lecture 3 - Genetic Engineering
W. Mark Saltzman, 2008   (339 views)
@ BENG 100 - Frontiers of Biomedical Engineering

  • Lecture 3 - Genetic Engineering
  • --  insulin from its genetic code (DNA). Professor Saltzman describes the genetic code. RNA interference is

country_flag Applied Botany, Genetics and Ecology
Franc Batič, 2011   (233 views)
@ PRO(MO)GRAM - predstavitveni filmi raziskovalnih programov / promotional videos of research programs

  • Applied Botany, Genetics and Ecology
  • --  genetics deals with the structure and function of agricultural plants (crop, fruit, pasture & meadow
  • -- , medicinal & aromatic and weed plant species) at the morphological, anatomical, ecophysiological, genetic and

country_flag Lecture 4 - Genetic Engineering (cont.)
W. Mark Saltzman, 2008   (209 views)
@ BENG 100 - Frontiers of Biomedical Engineering

  • Lecture 4 - Genetic Engineering (cont.)

country_flag Lecture 2 - Basic Transmission Genetics
Stephen C. Stearns, 2009   (488 views)
@ EEB 122 - Principles of Evolution, Ecology and Behavior

  • Lecture 2 - Basic Transmission Genetics
  • -- Genetic transmission is the mechanism that drives evolution. DNA encodes all the information

country_flag Genetic Approximate Matching of Attributed Relational Graphs
Thomas Baerecke, 2007   (147 views)
@ 6th IAPR - TC-15 Workshop on Graph-based Representations in Pattern Recognition (GbR), Alicante 2007

  • Genetic Approximate Matching of Attributed Relational Graphs
  • -- Genetic Approximate Matching of Attributed Relational Graphs

country_flag Modelling Genetic Variations with Fragmentation-Coagulation Processes
Yee Whye Teh, 2011   (366 views)
@ 25th Annual Conference on Neural Information Processing Systems (NIPS), Granada 2011

  • Modelling Genetic Variations with Fragmentation-Coagulation Processes
  • -- Modelling Genetic Variations with Fragmentation-Coagulation Processes
  • -- Genetic Variations in Populations
  • --  population genetics, and we demonstrate the utility of FCPs on problems of genotype imputation with phased

country_flag Towards a Polymer Model of Genetic Recombination
Christopher Penfold, 2007   (343 views)
@ Workshop on Practical Inference Methods for Mechanistic Modelling of Biological Systems (PIMMS), Glasgow 2007

  • Towards a Polymer Model of Genetic Recombination
  • -- Homologous recombination (HR) refers to the shuffling of genetic material during cellular division
  • --  e.g., meiosis and mitosis, and in response to environmentally-induced genetic damage. HR occurs

country_flag Genetics and modern technologies of agricultural plants
Branka Javornik, 2012   (147 views)
@ PRO(MO)GRAM - predstavitveni filmi raziskovalnih programov / promotional videos of research programs

  • Genetics and modern technologies of agricultural plants
  • -- The programme »Genetics and modern technologies of agricultural plants« includes basic and applied
  • --  the genetic mechanisms underlying different plant properties and the use of advanced breeding methods
  • --  aimed at producing high quality hybrid pumpkin varieties. The genetic research, which also supports
  • --  results support the conservation of genetic resources, in varietal identification and in pathogen

country_flag Human Genetics: Our Past and Our Future
David Altshuler, 2005   (136 views)
@ MIT World Series: Soap Box

  • Human Genetics: Our Past and Our Future
  • --  Museum. Altshuler is a self-described optimist, and sees promise in current genetic research that
  • -- , criminality, athletic ability….Should society regulate the use of genetic information in reproductive choices
  • -- ?” What if insurance companies gain access to individuals’ genetic predictors, and use this to determine
  • --  off DNA, doing a genetic test and not hiring you or refusing to give you insurance,” Altshuler points
  • --  restricting the use of genetic information, and permitting its application to cure disease.

country_flag Lecture 31: Population Genetics and Evolution
Martin Polz, 2005   (44 views)
@ MIT 7.014 Introductory Biology - Spring 2005

  • Lecture 31: Population Genetics and Evolution

country_flag Lecture 4 - Neutral Evolution: Genetic Drift
Stephen C. Stearns, 2009   (224 views)
@ EEB 122 - Principles of Evolution, Ecology and Behavior

  • Lecture 4 - Neutral Evolution: Genetic Drift

country_flag Gensko spremenjene rastline / Genetically Modified Plants
Jana Žel, 2007   (54 views)
@ Mednarodni posvet Biološka znanost in družba: GENIalna prihodnost - genetika, determinizem in svoboda / International Conference Bioscience and Society: GENIal future – genetics, determinism and freedom

  • Gensko spremenjene rastline / Genetically Modified Plants
  • --  genetically modified organisms and their understanding is complex, since already the term »genetically
  • --  should be high. This article represents the current status of the genetically modified plants: their
  • -- , traceability and coexistence of genetically modified, organic, and conventional agriculture.

country_flag From Statistical Genetics to Predictive Models in Personalized Medicine
2011   (0 views)
@ NIPS Workshops, Sierra Nevada 2011

  • From Statistical Genetics to Predictive Models in Personalized Medicine

country_flag A Genetic Algorithm for Text Classification Rule Induction
Adriana Pietramala, Veronica L. Policicchio, Pasquale Rullo, Inderbir Sidhu, 2008   (2645 views)
@ European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Antwerp 2008

  • A Genetic Algorithm for Text Classification Rule Induction
  • -- A Genetic Algorithm for Text Classification Rule Induction
  • -- Olex-GA A Genetic Algorithm to Solve MAX-F
  • -- This paper presents a Genetic Algorithm, called Olex-GA, for the induction of rule-based text

country_flag Controlling Humanoid Robots by Means of Genetic Programming
Hitoshi Iba, 2009   (862 views)
@ Workshops

  • Controlling Humanoid Robots by Means of Genetic Programming
  • -- Controling Humanoid Robots by means of Genetic Programming
  • -- Genetic Programming: Overview
  • -- Genetic Programming (GP) -1
  • -- Genetic Programming (GP) -2
  • --  appropriate actions by using trial-and-error in a real environment. GP (Genetic Programming) can generate
  • --  programs to control a robot directly, and many studies have been done showing this. GA (Genetic
  • --  technique of genetic programming and reinforcement learning (RL) to enable a real robot to adapt its

country_flag Time-varying genetic network inference using informative priors
Sophie Lebre, 2009   (478 views)
@ Workshop on Learning and Inference in Computational and Systems Biology (LICSB), London 2009

  • Time-varying genetic network inference using informative priors
  • -- Inferring time-varying genetic network using informative priors

country_flag Reconstructing networks from experimental and natural genetic perturbations
Florian Markowetz, 2010   (362 views)
@ Learning and Inference in Computational Systems Biology (LICSB), Warwick 2010

  • Reconstructing networks from experimental and natural genetic perturbations
  • -- Reconstructing networks from experimental and natural genetic perturbations

country_flag Integration of genome-wide data to infer genetic networks
Xavier Gidrol, 2007   (318 views)
@ 1st International Workshop on Machine Learning in Systems Biology (MLSB), Evry 2007

  • Integration of genome-wide data to infer genetic networks

country_flag Lecture 8: Biochemistry VI (cont.) DNA as Genetic Material
Graham Walker, 2005   (40 views)
@ MIT 7.014 Introductory Biology - Spring 2005

  • Lecture 8: Biochemistry VI (cont.) DNA as Genetic Material

country_flag Lecture 5 - How Selection Changes the Genetic Composition of Population
Stephen C. Stearns, 2009   (177 views)
@ EEB 122 - Principles of Evolution, Ecology and Behavior

  • Lecture 5 - How Selection Changes the Genetic Composition of Population
  • -- Genetics controls evolution. There are four major genetic systems, which are combinations of sexual
  • -- /asexual and haploid/diploid. In all genetic systems, adaptive genetic change tends to start out slow

country_flag Lecture 6 - The Origin and Maintenance of Genetic Variation
Stephen C. Stearns, 2009   (186 views)
@ EEB 122 - Principles of Evolution, Ecology and Behavior

  • Lecture 6 - The Origin and Maintenance of Genetic Variation
  • -- Mutations are the origin of genetic diversity. Mutations introduce new traits, while selection
  • --  for much of the genetic diversity in sexual species. In some instances, population size can affect

country_flag Non-Genetic Individuality in a Predator-Prey system
Nathalie Questembert-Balaban, 2008   (186 views)
@ 5th European Conference on Complex Systems

  • Non-Genetic Individuality in a Predator-Prey system
  • -- . Such non-genetic individuality has been observed in a wide range of biological processes, including
  • --  treatments. Recently, a renewed interest in the persistence phenomenon has revealed that non-genetic
  • --  persistent sub-population is not genetically different from the original population. We have previously shown
  • --  this predator-prey interaction, we found that the bacteria's non-genetic individuality can
  • --  bacterial hosts and phages. References 1. Rando, O. J. & Verstrepen, K. J. (2007) Timescales of genetic

country_flag Estimating the contribution of non-genetic factors to gene expression using Gaussian process latent variable models
Nicolò Fusi, 2010   (161 views)
@ Learning and Inference in Computational Systems Biology (LICSB), Warwick 2010

  • Estimating the contribution of non-genetic factors to gene expression using Gaussian process latent
  • -- Estimating the contribution of non-genetic factors to gene expression using Gaussian Process Latent
  • -- Modelling non-genetic factors -1
  • -- Modelling non-genetic factors -2
  • -- Modelling non-genetic factors -3
  • -- Modelling non-genetic factors -4
  • -- Thanks to the recent increase in the amount of genetic profiling data available and to the ability
  • --  integration of different sources of biological data is not straightforward and because non-genetic factors
  • --  ethnicity) are not always artificially controlled. Since these non-genetic factors may cause most of the
  • --  variation in gene-expression reducing the accuracy of genetic studies, there’s a pressing need for models
  • --  that take them explicitly into account. We present a model in which non-genetic factors are unobserved

country_flag The genetics of individuals: why would a mutation kill me, but not you?
Ben Lehner, 2012   (110 views)
@ 6th International Workshop on Machine Learning in Systems Biology (MLSB), Basel 2012

  • The genetics of individuals: why would a mutation kill me, but not you?

country_flag Examining the Relative Influence of Familial, Genetic, and Environmental Covariate Information in Flexible Risk Models
Grace Wahba, 2009   (199 views)
@ Machine Learning Summer School (MLSS), Chicago 2009

  • Examining the Relative Influence of Familial, Genetic, and Environmental Covariate Information in
  • -- Examining the Relative Influence of Familial, Genetic and Covariate Information In Flexible Risk
  • -- Modeling E/C, genetic and pedigree data in an extended SS-ANOVA model
  • -- We present a novel method for examining the relative influence of familial, genetic and
  • --  genetic marker data and another representing pedigree relationships. We report a case study on models for
  • -- ) - and shows significantly increased predictive ability in models that include all three of the genetic
  • --  data sources, that is, pedigree-environmental covariates or pedigree-genetic markers, or environmental
  • --  covariates-genetic markers, have comparable predictive ability, while less than the model with all three

country_flag Improving Large-Scale Genetic Association Studies by Accounting For Hidden Confounders
Jennifer Listgarten, 2010   (215 views)
@ Machine Learning in Computational Biology

  • Improving Large-Scale Genetic Association Studies by Accounting For Hidden Confounders
  • -- Improving Large-Scale Genetic Association Studies by Accounting For Hidden Confounders
  • -- Importance of Genetic Studies
  • -- Richness of Genetic Similarity Matrix

country_flag New advances in the genetics of melanoma: how can it contribute to personalized medicine?
Florence Demenais, 2011   (222 views)
@ From Statistical Genetics to Predictive Models in Personalized Medicine

  • New advances in the genetics of melanoma: how can it contribute to personalized medicine?
  • -- New advances in the genetics of melanoma : how can it contribute to personalized medicine?
  • -- Genetic Epidemiology of Melanoma
  • -- Genetic Epidemiology of Melanoma : What is the Context?
  • -- Are there other types of genetic variants between low and high risk genes?

country_flag Lecture 11 - Sustainability II: The Impact of Modern Agriculture on Biodiversity, Genetic Modification and Animal Welfare
Kelly D. Brownell, 2008   (316 views)
@ YALE PSYC 123 The Psychology, Biology and Politics of Food with Professor Kelly D. Brownell

  • Lecture 11 - Sustainability II: The Impact of Modern Agriculture on Biodiversity, Genetic
  • -- , and morally sustainable. First, he explores how genetically modified foods both benefit and hinder

country_flag Disease gene discovery through genome sequencing and data exchange: perspectives for genetic diagnosis and drug development
Hans-Hilger Ropers, 2014   (1 view)
@ 20th International Symposium on Microsomes and Drug Oxidations (MDO), Stuttgart 2014

  • Disease gene discovery through genome sequencing and data exchange: perspectives for genetic
  • -- Disease gene discovery through genome sequencing and data exchange: perspectives for genetic
  • -- ... because for most common diseases, GWAS has failed to identify genetic markers that are of
  • -- High-throughput – low cost sequencing revolutionizes genome research and genetic health care
  • --  but unproven hypothesis that for common disorders, common genetic risk factors must exist. Today
  • --  replacing this approach by high-throughput sequencing (HTS) in their quest for important genetic factors in
  • --  the etiology of common disorders. Given the enormous genetic heterogeneity of common disorders
  • --  disorders, the most common reason for referral to genetic services and one of most costly diagnoses
  • --  worldwide. Genetic and molecular studies have dissected ID into many hundred distinct genetic entities

country_flag Integrating genetic and gene expression evidence into genome-wide association analysis of gene sets
Sayan Mukherjee, 2010   (329 views)
@ Cancer Bioinformatics Workshop, Cambridge 2010

  • Integrating genetic and gene expression evidence into genome-wide association analysis of gene sets
  • -- Integrating genetic and gene expression evidence into genome-wide association analysis of gene sets

country_flag A New Admixture Model for Inference of Population Structure in Light of Both Genetic Admixing and Allele Mutations
Suyash Shringarpure, 2008   (505 views)
@ 25th International Conference on Machine Learning (ICML), Helsinki 2008

  • A New Admixture Model for Inference of Population Structure in Light of Both Genetic Admixing and
  • --  Genetic Admixing and Allele Mutations
  • -- Genetic Population Structure

country_flag Innovation Everywhere - How the Acceleration of “GNR” (genetics, nanotechnology, robotics) Will Create a Flat and Equitable World
Ray Kurzweil, 2005   (19 views)
@ MIT World Series: Emerging Technologies Conference 2005

  • Innovation Everywhere - How the Acceleration of “GNR” (genetics, nanotechnology, robotics) Will

country_flag Genetika, zasebnost in diskriminacija – raba in zloraba informacij / Genetics, Privacy and Discrimination – Use and Abuse of Information
Goran Klemenčič, 2007   (105 views)
@ Mednarodni posvet Biološka znanost in družba: GENIalna prihodnost - genetika, determinizem in svoboda / International Conference Bioscience and Society: GENIal future – genetics, determinism and freedom

  • Genetika, zasebnost in diskriminacija – raba in zloraba informacij / Genetics, Privacy and
  • --  and revolution of genetic science. Both pose great challenges to the traditional established views on
  • -- . In addition to (obvious) use of genetic information in medical science and research the number of
  • --  fields in which genetic information is used is increasing: law enforcement, criminal law, torts and
  • --  of these fields holds great promises for future use of genetic information; each also poses distinct
  • --  genetic information in a broader context of the right to privacy, protection of personal data and

country_flag Association between genetic polymorphisms for vasopressin and oxytocin receptors and pro-social behavior in economic decision tasks
Salomon Israel, 2008   (352 views)
@ 4th European Phd Complexity School

  • Association between genetic polymorphisms for vasopressin and oxytocin receptors and pro-social

country_flag Ugotavljanje identitete posameznika z uporabo genetskih informacij, metode verižne reakcije s polimerazo in računalniško podprte tehnologije / Determination of Personal Identity on the Basis of Genetic Data, PCR methodology and Computer Tec
Katja Drobnič, 2007   (140 views)
@ Mednarodni posvet Biološka znanost in družba: GENIalna prihodnost - genetika, determinizem in svoboda / International Conference Bioscience and Society: GENIal future – genetics, determinism and freedom

  • polimerazo in računalniško podprte tehnologije / Determination of Personal Identity on the Basis of Genetic

country_flag Constrained Hidden Markov Models for Population-based Haplotyping
Niels Landwehr, 2006   (328 views)
@ Workshop on Probabilistic Modeling and Machine Learning in Structural and Systems Biology (PMSB), Tuusula 2006

  • Analysis of genetic variation in human populations is critical to the understanding of the genetic
  • --  expensive to sequence genomes of several individuals to analyze genetic variation. Furthermore, most of the

country_flag Lecture 16 - Comparative Methods: Trees, Maps, and Traits
Stephen C. Stearns, 2009   (74 views)
@ EEB 122 - Principles of Evolution, Ecology and Behavior

  • We can use methods of genetic analysis to connect phylogenic information to geographical histories
  • -- . Human migration has left genetic traces on every continent, and allows us to trace our roots back to
  • --  Africa. Molecular genetic methods allow us to determine whether or not trait states were ancestral, which

country_flag The Human Genome Project
Eric S. Lander, 2001   (58 views)
@ MIT World Host: Biology Department

  • human genetics, mouse genetics, population genetics and computational and mathematical methods in
  • --  techniques for genetic analyses of complex, multigenic traits. He has applied these techniques to the

country_flag Lost in Translation from Genes to Organisms
Jukka Jernvall, 2006   (359 views)
@ Workshop on Probabilistic Modeling and Machine Learning in Structural and Systems Biology (PMSB), Tuusula 2006

  • Data mining genomes and developmental genetics provides information for building mathematical gene

country_flag 2002 Nobel Prize in Physiology or Medicine Nobel Lecture
H. Robert Horvitz, 2002   (215 views)
@ MIT World Series: Nobel Laureate Speakers

  • Brenner and John El Sulston "for their discoveries concerning genetic regulation of organ development and

country_flag Lecture 15 - Phylogeny and Systematics
Stephen C. Stearns, 2009   (191 views)
@ EEB 122 - Principles of Evolution, Ecology and Behavior

  • The Tree of Life must be discovered through rigorous analysis. Genetic information is crucial
  • --  because appearances can be deceiving, and species that look similar can prove to be genetically very

country_flag Effects of Stress and Genotype on Exploration-Exploitation Dynamics in Reinforcement Learning
Gedi Lukšys, 2006   (236 views)
@ NIPS Workshop on On-line Trading of Exploration and Exploitation, Whistler 2006

  • Exploitation factors B: temporal evolution, genetic effects
  • -- Stress and genetic background regulate different aspects of behavioral learning through the action
  • --  out 5-hole-box light conditioning and Morris water maze experiments with 2 different genetic strains
  • --  different genetic strains and stress conditions.

country_flag Personalized Medicine
Rebecca Henderson, Darlene Solomon, Jose B. Cibelli, Benjamin Cravatt, David Sabatini, 2002   (53 views)
@ MIT World Series - 2002 TR100 Symposium

  • workings or specific diseases but tailor-made for each individual's genetic makeup.

country_flag Lecture 16: Personality
John Gabrieli, 2011   (186 views)
@ 9.00SC Introduction to Psychology

  • Inventory (BFI), nature and nurture, temperament, Eyesenck, Yerkes-Dodson Law, genetics

country_flag Lecture 20: Psychopathology I
John Gabrieli, 2011   (74 views)
@ 9.00SC Introduction to Psychology

  • medication, diagnosis, lobotomy, genetic predispositions, dopamine

country_flag New Frontiers in Schizophrenia and Bipolar Disorder Research
Edward Scolnick, 2009   (400 views)
@ MIT World Series: MIT's Brains on Brains

  • understanding the genetic basis behind such illnesses. But the research drought may be over, as the current
  • --  revolution in human genetics opens wide a door into the molecular biology and brain physiology behind
  • --  factor for both schizophrenia and bipolar disorder is genetic, it has not been able to design tools for
  • --  exploring how the genetics relates to the evolution of the disease in people. But just in the last two years
  • -- , with the sequencing of the human genome and maps of human genetic variation, ignorance has given way to

country_flag Človeške dedne bolezni, njihovo izražanje in napovedovanje prihodnosti / Human Hereditary Diseases, their Expression and Prediction
Radovan Komel, 2007   (173 views)
@ Mednarodni posvet Biološka znanost in družba: GENIalna prihodnost - genetika, determinizem in svoboda / International Conference Bioscience and Society: GENIal future – genetics, determinism and freedom

  • . A genetic disorder is caused by abnormalities in genes or chromosomes. Some of them, such as cancer
  • -- , are due to impairments of genetic material acquired in a few cells during life. However, the term
  • --  "genetic disease" most commonly refers to diseases present in all cells of the body and present since
  • --  conception, which means that defective genes are inherited from the parents. In this case, the genetic
  • --  4,000 genetic disorders as known at present, are quite rare and affect one person in every several

country_flag Stochastic Search Methods
Bogdan Filipič, 2005   (1300 views)
@ Advanced Course on AI (ACAI), Ljubljana 2005

  • environment. Three variants of evolutionary algorithms are discussed: evolution strategies, genetic
  • --  algorithms and genetic programming. Evolution strategies were proposed as a technique of evolutionary
  • --  experimentation in engineering design and are nowadays used as numerical optimization algorithms. Genetic
  • --  solutions and variation operators mimicking genetic processes in nature. Genetic programming is an extension
  • --  of genetic algorithms designed to evolve not simple solutions to given problems, but computer

country_flag Kernel methods for genomic data fusion
Yves Moreau, 2012   (244 views)
@ 6th International Workshop on Machine Learning in Systems Biology (MLSB), Basel 2012

  • Genetic diagnosis
  • --  genetic diseases and the understanding of the molecular networks underlying those disorders remains
  • --  both to support clinical genetic diagnosis and to speed up biological discovery. Genomic data fusion

country_flag Machine Learning for Bipedal Walking
Travis Brown, Sekou Remy, 2011   (284 views)
@ AAAI 2011: AI Video Competition

  • , genetic algorithms and traditional PD control. The neural network uses certain state variables as input
  • --  variables. A modified genetic algorithm is used to evolve successful neural controllers for the system.

country_flag Fighting the Tuberculosis Pandemic Using Machine Learning
Kristin P. Bennett, 2013   (70 views)
@ 27th AAAI Conference on Artificial Intelligence, Washington 2013

  • models to predict the genetic lineages of Mtb based on DNA fingerprints. Mining of tuberculosis patient
  • --  surveillance data with respect to these genetic lineages helps discover outbreaks, improve TB control, and

country_flag The coupling of strain evolution and disease dynamics
Stefan Wieland, 2008   (46 views)
@ 4th European Phd Complexity School

  • Influenza A is characterized by seasonal outbreaks and a gradual genetic, yet discontinuous

country_flag Modeling the evolution of flower colour in snapdragons
Nicholas Barton, 2014   (21 views)
@ Kolokviji na Institutu "Jožef Stefan"

  • genetics of hybrid zones using our current study system, which involves populations of Antirrhinum

country_flag Lecture 14: Intelligence
John Gabrieli, 2011   (80 views)
@ 9.00SC Introduction to Psychology

  • How much is intelligence determined by our childhood environment vs. our genetics? Are there things

country_flag Lecture 7 - The Importance of Development in Evolution
Stephen C. Stearns, 2009   (79 views)
@ EEB 122 - Principles of Evolution, Ecology and Behavior

  • relatively small amount of genetic information to be expressed in many different ways. Reading assignment

country_flag Lecture 17 - Key Events in Evolution
Stephen C. Stearns, 2009   (194 views)
@ EEB 122 - Principles of Evolution, Ecology and Behavior

  • conflict resolution or information transmission, from the genetic to the cultural level. Reading

country_flag Factor models for QTL studies
Oliver Stegle, 2008   (546 views)
@ Learning and Inference in Computational Systems Biology (LICSB), Glasgow 2008

  • discovering patterns of genetic variation and their association with gene regulation. Two aspects of the
  • --  by proposing FA-eQTL, a factor-model that explicitly takes non-genetic variability into account, and
  • --  FA-eQTL by jointly reducing the dimensionality of the ex-pression profile and modelling non-genetic

country_flag Gene regulatory network inference using tree-based ensemble methods
Pierre Geurts, 2013   (87 views)
@ Solomon seminar

  • Systems genetics
  • -- GENIE3 with systems genetics data
  • -- DREAM5 Systems Genetics Challenge
  • --  topology of genetic regulatory networks. In this talk, we first present a method, called GENIE3, for the
  • --  time series expression and systems genetics data. In the latter case, the good performance of the
  • --  method is illustrated on the data from the DREAM5 systems genetics challenge and the more recent StatSeq

country_flag The Evolution of Sex: Rethinking the Rotting Y Chromosome
David C. Page, 2003   (59 views)
@ MIT World Host: Whitehead Institute for Biomedical Research

  • for 50 years as a genetic wasteland, the Y chromosome just doesn’t get any respect…until now. Page’s
  • --  that pairs of chromosomes exchange genetic material through a process of crossing over. This leads to
  • --  genetic variation in offspring, and can weed out dangerous mutations. Although there’s limited gene

country_flag Worms, Life and Death: Cell Suicide in Development and Disease
H. Robert Horvitz, 2007   (97 views)
@ MIT World Series: Nobel Laureate Speakers

  • series of discoveries based on C. elegans that identified the genetics behind programmed cell death
  • --  characterize what genetic accidents created mutant worms. Scientists figured out genetic pathways that were
  • --  genetically programmed to die. Every animal, Horwitz says, undergoes apoptosis as a “normal aspect of
  • --  is pursuing. Horvitz is now aiming his sights at different genetic regulators that tell certain types

country_flag Dual Beta Process Priors for Latent Cluster Discovery in Chronic Obstructive Pulmonary Disease
James C. Ross, 2014   (2 views)
@ Research Sessions

  • is a heterogeneous disease, with substantial evidence indicating that genetic variation contributes
  • --  we assume are influenced by genetics. Furthermore, we predict that only subsets of the numerous
  • --  discover the most probable latent cluster assignments. Results are validated with associations to genetic

country_flag Multi-Task Learning for HIV Therapy Screening
Steffen Bickel, 2008   (197 views)
@ 25th International Conference on Machine Learning (ICML), Helsinki 2008

  • patient who carries an HIV virus with a set of observed genetic properties. Such predictions need to be

country_flag Novel Applications of Computational Biology in Infectious Disease Interventions
Elizabeth Halloran, 2009   (175 views)
@ Mini Symposia

  • methods. Estimating changes in viral genetic diversity in a population could be a new potential method to

country_flag Understanding Gene Regulatory Networks and Their Variations
Daphne Koller, 2009   (1232 views)
@ Mini Symposia

  • individual genetic variation on gene regulation and its effect on phenotypes including human disease; and

country_flag The Evolution of Trichromatic Color Vision
Jeremy Nathans, 2009   (117 views)
@ Edward M. Scolnick Prize in Neuroscience

  • color. Jeremy Nathans describes the fortuitous genetic event that gave rise to this evolutionary leap
  • --  1980s, Nathans became interested in “making a dent in the area of identifying (genetic) sequences of the
  • --  diversity of genetic variations in normal, trichromatic vision. Indeed, he says the sequences lend
  • -- . From his genetic research, Nathans became interested in how some mammals made the leap from dichromatic

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Raúl Alberto Laumann, 2013   (68 views)
@ Predavanja na Nacionalnem inštitutu za biologijo, Ljubljana

  • Embrapa Genetic Resources and Biotechnology
  • -- , EMBRAPA will be presented. The team of the Laboratory of Semiochemicals of Embrapa Genetic Resources and

country_flag Global Features Of Species Network
Yosef Maruvka, 2008   (63 views)
@ 4th European Phd Complexity School

  • . The emerging genetic mixture depends strongly on the initial conditions. The frequency of hubs is much

country_flag Data Mining in the Life Sciences: The Path to Personalized Medicine
Karsten Michael Borgwardt, 2014   (171 views)
@ Marie Curie Initial Training Network on Machine Learning for Personalized Medicine (MLPM) 1st Summer School, Tübingen, 2013

  • Genetics: Association Studies
  • -- Genetics: Manhattan Plots
  • -- Genetics: Missing Heritability - 1
  • -- Genetics: Missing Heritability - 2
  • -- Genetics: Potential Reasons for Missing Heritability
  • --  recently, the inter-individual variation on the genetic and transcriptomic level and its link to phenotypic