About
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 is 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.
The goal of this workshop is to present emerging problems and machine learning techniques in computational biology. We invited several speakers from the biology/bioinformatics community who presented current research problems in bioinformatics, and we invited contributed talks on novel learning approaches in computational biology. We encouraged contributions describing either progress on new bioinformatics problems or work on established problems using methods that are substantially different from standard approaches.
Workshop homepage: http://mlcb.org/
Videos
Invited Talk

Orienting physical networks
Jan 13, 2011
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3453 views
Lectures

Inferring Multiple Regulation Networks
Jan 12, 2011
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3187 views

Inferring exon junction expression from RNASeq data
Jan 12, 2011
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3294 views

De novo RNA-seq-based Genome Annotation
Jan 12, 2011
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4184 views

Regularized Output Kernel Regression for protein-protein interaction prediction:...
Sep 4, 2019
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311 views

JigPheno: Semantic Feature Extraction from biological images
Jan 12, 2011
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3686 views

Explaining Confounding Factors in eQTL Studies using a Dictionary of Latent Vari...
Jan 12, 2011
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3808 views

A joint genotypic/phenotypic mixture model for GWAS
Jan 12, 2011
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3989 views

Improving Large-Scale Genetic Association Studies by Accounting For Hidden Confo...
Jan 12, 2011
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3603 views

A probabilistic topic model for the analysis of blood disease disorders
Sep 4, 2019
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130 views

HIV-Haplotype Inference using a Constraintbased Dirichlet Process Mixture Model
Jan 12, 2011
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6766 views