Bioinformatics

Feature Selection Methods for Improving Protein Structure Prediction with Rosetta NeurIPS 2007 Heterogeneous Component Analysis NeurIPS 2007 Locality and low-dimensions in the prediction of natural experience from fMRI NeurIPS 2007 Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression 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 A Robust Procedure For Gaussian Graphical Model Search From Microarray Data With p Larger Than n JMLR 2006 Comparative Gene Prediction using Conditional Random Fields NeurIPS 2006 Data Integration for Classification Problems Employing Gaussian Process Priors NeurIPS 2006 Fast Computation of Graph Kernels NeurIPS 2006 Game Theoretic Algorithms for Protein-DNA binding NeurIPS 2006 Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space NeurIPS 2006 Hierarchical Dirichlet Processes with Random Effects NeurIPS 2006 Inferring Network Structure from Co-Occurrences NeurIPS 2006 Large Scale Hidden Semi-Markov SVMs NeurIPS 2006 MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals JMLR 2006 Modelling transcriptional regulation using Gaussian Processes NeurIPS 2006 Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype NeurIPS 2006 Rearrangement Clustering: Pitfalls, Remedies, and Applications JMLR 2006 Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks NeurIPS 2006 New Techniques for Disambiguation in Natural Language and Their Application to Biological Text JMLR 2004 The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem JMLR 2003