Percolate: An Exponential Family JIVE Model to Design DNA-Based Predictors of Drug Response

PRECISE: A domain adaptation approach to transfer predictors of drug response from pre-clinical models to tumors

RUBIC identifies driver genes by detecting recurrent DNA copy number breaks

Analysis of tumor heterogeneity and cancer gene networks using deep sequencing of MMTV-induced mouse mammary tumors

A scale-space method for detecting recurrent DNA copy number changes with analytical false discovery rate control

Integration of Clinical and Gene Expression Data Has a Synergetic Effect on Predicting Breast Cancer Outcome

KC-SMARTR: An R package for detection of statistically significant aberrations in multi-experiment aCGH data

Inferring combinatorial association logic networks in multimodal genome-wide screens

Identification of Networks of Co-Occurring, Tumor-Related DNA Copy Number Changes Using a Genome-Wide Scoring Approach

Analysis of mass spectrometry data using sub-spectra

Knowledge driven decomposition of tumor expression profiles

Combinatorial effects of environmental parameters on transcriptional regulation in Saccharomyces cerevisiae: A quantitative analysis of a compendium of chemostat-based transcriptome data

Combinatorial influence of environmental parameters on transcription factor activity

Identification of cancer genes using a statistical framework for multiexperiment analysis of nondiscretized array CGH data

Comparison of normalisation methods for surface-enhanced laser desorption and ionisation (SELDI) time-of-flight (TOF) mass spectrometry data

Pooling breast cancer datasets has a synergetic effect on classification performance and improves signature stability

Module-Based Outcome Prediction Using Breast Cancer Compendia

Co-occurrence analysis of insertional mutagenesis data reveals cooperating oncogenes

Exploiting combinatorial cultivation conditions to infer transcriptional regulation

SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets