Bioinformatics

Penalized Principal Component Regression on Graphs for Analysis of Subnetworks NeurIPS 2010 Sparse Instrumental Variables (SPIV) for Genome-Wide Studies NeurIPS 2010 Variational Inference over Combinatorial Spaces NeurIPS 2010 Clustering sequence sets for motif discovery NeurIPS 2009 Efficient and Accurate Lp-Norm Multiple Kernel Learning NeurIPS 2009 Heterogeneous multitask learning with joint sparsity constraints NeurIPS 2009 Time-Varying Dynamic Bayesian Networks NeurIPS 2009 A mixture model for the evolution of gene expression in non-homogeneous datasets NeurIPS 2008 An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis NeurIPS 2008 A spatially varying two-sample recombinant coalescent, with applications to HIV escape response NeurIPS 2008 Clusters and Coarse Partitions in LP Relaxations NeurIPS 2008 Efficient Inference in Phylogenetic InDel Trees NeurIPS 2008 Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming JMLR 2008 Nonparametric regression and classification with joint sparsity constraints NeurIPS 2008 Scalable Algorithms for String Kernels with Inexact Matching NeurIPS 2008 The Infinite Hierarchical Factor Regression Model NeurIPS 2008 Feature Selection Methods for Improving Protein Structure Prediction with Rosetta NeurIPS 2007 Heterogeneous Component Analysis NeurIPS 2007 Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach NeurIPS 2007 An Information Theoretic Framework for Eukaryotic Gradient Sensing NeurIPS 2006 Comparative Gene Prediction using Conditional Random Fields NeurIPS 2006 Game Theoretic Algorithms for Protein-DNA binding NeurIPS 2006 Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space NeurIPS 2006 Inferring Network Structure from Co-Occurrences NeurIPS 2006 Large Scale Hidden Semi-Markov SVMs NeurIPS 2006