Computational Biology

Computational Biology

11 Videos · Dec 11, 2009

About

Machine Learning in Computational Biology

The field of computational biology has seen dramatic growth over the past few years, both in terms of new available data, new scientific questions, and new challenges for learning and inference. In particular, biological data are often relationally structured and highly diverse, well-suited to approaches that combine multiple weak evidence from heterogeneous sources. These data may include sequenced genomes of a variety of organisms, gene expression data from multiple technologies, protein expression data, protein sequence and 3D structural data, protein interactions, gene ontology and pathway databases, genetic variation data (such as SNPs), and an enormous amount of textual data in the biological and medical literature. New types of scientific and clinical problems require the development of novel supervised and unsupervised learning methods that can use these growing resources. Furthermore, next generation sequencing technologies are yielding terabyte scale data sets that require novel algorithmic solutions. The goal of this workshop is to present emerging problems and machine learning techniques in computational biology.

The Workshop homepage can be found at http://www.mlcb.org/.

Videos

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24:49

A Bayesian Method for 3D Reconstruction of Macromolecular Structure Using Class ...

Navdeep Jaitly

Jan 19, 2010

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4078 views

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24:50

Leveraging Joint Test Status Distribution for an Optimal Significance Testing

Eleazar Eskin

Jan 19, 2010

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3425 views

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24:35

Association Mapping of Traits over Time Using Gaussian Processes

Oliver Stegle

Feb 15, 2010

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4200 views

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21:45

vbFRET: A Bayesian Approach to Single-Molecule Forster Resonance Energy Transfer...

Jonathan Eiseman Bronson

Jan 19, 2010

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5392 views

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21:26

Abstraction Augmented Markov Models

Adrian Silvescu

Jan 19, 2010

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4393 views

Draft
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21:29

Scalable Hierarchical Multitask Learning in Sequence Biology

Christian Widmer

Jan 19, 2010

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633 views

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26:52

Learning Graphical Model Structure with Sparse Bayesian Factor Models and Proces...

Ricardo Henao

Jan 19, 2010

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4622 views

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23:46

Direct Maximization of Protein Identifications from Tandem Mass Spectra

Marina Spivak

Jan 19, 2010

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4175 views

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25:23

Statistical Methods for Ultra-Deep Pyrosequencing of Fast Evolving Viruses

David Knowles

Jan 19, 2010

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4928 views

Private
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30:46

Discussion: Machine Learning in Computational Biology

Jan 14, 2010

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0 views

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23:18

A Machine Learning Pipeline for Phenotype Prediction from Genotype Data

Cesare Furlanello

Jan 19, 2010

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4172 views