The characterization of cancer genomes has provided insight into somatically altered genes
across tumors, transformed our understanding of cancer biology, and enabled tailoring of …

The Cancer Genome Atlas Network recently cataloged recurrent genomic abnormalities in
glioblastoma multiforme (GBM). We describe a robust gene expression-based molecular …

DNA microarrays can be used to identify gene expression changes characteristic of human
disease. This is challenging, however, when relevant differences are subtle at the level of …

Although genomewide RNA expression analysis has become a routine tool in biomedical
research, extracting biological insight from such information remains a major challenge. Here, …

The Molecular Signatures Database (MSigDB) is one of the most widely used and comprehensive
databases of gene sets for performing gene set enrichment analysis. Since its creation…

Although cancer classification has improved over the past 30 years, there has been no general
approach for identifying new cancer classes (class discovery) or for assigning tumors to …

Prostate tumors are among the most heterogeneous of cancers, both histologically and
clinically. Microarray expression analysis was used to determine whether global biological …

Motivation: Well-annotated gene sets representing the universe of the biological processes
are critical for meaningful and insightful interpretation of large-scale genomic data. The …

The proto-oncogene KRAS is mutated in a wide array of human cancers, most of which are
aggressive and respond poorly to standard therapies. Although the identification of specific …

G protein–coupled receptors (GPCRs) are the largest gene family of cell membrane–associated
molecules mediating signal transmission, and their involvement in key physiological …