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

24:49
A Bayesian Method for 3D Reconstruction of Macromolecular Structure Using Class ...
Jan 19, 2010
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4078 views

24:50
Leveraging Joint Test Status Distribution for an Optimal Significance Testing
Jan 19, 2010
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3425 views

24:35
Association Mapping of Traits over Time Using Gaussian Processes
Feb 15, 2010
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4200 views

21:45
vbFRET: A Bayesian Approach to Single-Molecule Forster Resonance Energy Transfer...
Jan 19, 2010
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5392 views

21:26
Abstraction Augmented Markov Models
Jan 19, 2010
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4393 views

21:29
Scalable Hierarchical Multitask Learning in Sequence Biology
Jan 19, 2010
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633 views

26:52
Learning Graphical Model Structure with Sparse Bayesian Factor Models and Proces...
Jan 19, 2010
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4622 views

23:46
Direct Maximization of Protein Identifications from Tandem Mass Spectra
Jan 19, 2010
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4175 views

25:23
Statistical Methods for Ultra-Deep Pyrosequencing of Fast Evolving Viruses
Jan 19, 2010
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4928 views

30:46
Discussion: Machine Learning in Computational Biology
Jan 14, 2010
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0 views

23:18
A Machine Learning Pipeline for Phenotype Prediction from Genotype Data
Jan 19, 2010
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4172 views