gene expression

Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data ICML 2016 Stable Graphical Models JMLR 2016 Biclustering Using Message Passing NeurIPS 2014 Context Aware Group Nearest Shrunken Centroids in Large-Scale Genomic Studies AISTATS 2014 Efficient Dimensionality Reduction for High-Dimensional Network Estimation ICML 2014 Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension AISTATS 2013 Information Theoretic Model Validation for Spectral Clustering AISTATS 2012 Nonparametric Reduced Rank Regression NeurIPS 2012 Structured Learning of Gaussian Graphical Models NeurIPS 2012 Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings NeurIPS 2010 Dense Message Passing for Sparse Principal Component Analysis AISTATS 2010 Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks NeurIPS 2010 A mixture model for the evolution of gene expression in non-homogeneous datasets NeurIPS 2008 Multi-label Multiple Kernel Learning NeurIPS 2008 The Infinite Hierarchical Factor Regression Model NeurIPS 2008 Consistent Feature Selection for Pattern Recognition in Polynomial Time JMLR 2007 Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach NeurIPS 2007 Learning Coordinate Covariances via Gradients JMLR 2006 MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals JMLR 2006 Modelling transcriptional regulation using Gaussian Processes NeurIPS 2006