It is well established that the vast majority of human RNA transcripts do not encode for
proteins and that non-coding RNAs regulate cell physiology and shape cellular functions. A …

A main bottleneck in proteomics is the downstream biological analysis of highly multivariate
quantitative protein abundance data generated using mass-spectrometry-based analysis …

A critical component in the interpretation of systems-level studies is the inference of enriched
biological pathways and protein complexes contained within OMICs datasets. Successful …

Pathway enrichment analysis helps researchers gain mechanistic insight into gene lists
generated from genome-scale (omics) experiments. This method identifies biological …

Identifying molecular cancer drivers is critical for precision oncology. Multiple advanced
algorithms to identify drivers now exist, but systematic attempts to combine and optimize …

INTRODUCTION Advances in DNA sequencing technology have enabled the widespread
analysis of breast tumor genomes, creating a catalog of genetic mutations that may initiate or …

Cancer genomes contain large numbers of somatic mutations but few of these mutations
drive tumor development. Current approaches either identify driver genes on the basis of …

Aberrant cell signaling can cause cancer and other diseases and is a focal point of drug
research. A common approach is to infer signaling activity of pathways from gene …

Our increasing understanding of cancer biology has led to the development of molecularly
targeted anticancer drugs. The full potential of these agents has not, however, been …

Functional enrichment analysis is a key step in interpreting gene lists discovered in diverse
high-throughput experiments. g: Profiler studies flat and ranked gene lists and finds …