The systematic translation of cancer genomic data into knowledge of tumour biology and
therapeutic possibilities remains challenging. Such efforts should be greatly aided by robust …

Background Elucidating gene regulatory networks is crucial for understanding normal cell
physiology and complex pathologic phenotypes. Existing computational methods for the …

Cellular phenotypes are determined by the differential activity of networks linking coregulated
genes. Available methods for the reverse engineering of such networks from genome-wide …

Recent genomic analyses of pathologically defined tumor types identify "within-a-tissue"
disease subtypes. However, the extent to which genomic signatures are shared across tissues …

CIViC is an expert-crowdsourced knowledgebase for Clinical Interpretation of Variants in
Cancer describing the therapeutic, prognostic, diagnostic and predisposing relevance of …

Here, we describe a multiplexed immunohistochemical platform with computational image
processing workflows, including image cytometry, enabling simultaneous evaluation of 12 …

We describe a computational protocol for the ARACNE algorithm, an information-theoretic
method for identifying transcriptional interactions between gene products using microarray …

For nearly a century developmental biologists have recognized that cells from embryos can
differ in their potential to differentiate into distinct cell types. Recently, it has been recognized …

Most small-molecule probes and drugs alter cell circuitry by interacting with 1 or more
proteins. A complete understanding of the interacting proteins and their associated protein …

The detection of somatic mutations from cancer genome sequences is key to understanding
the genetic basis of disease progression, patient survival and response to therapy. …