Article

iEDGE: integration of Epi-DNA and Gene Expression and applications to the discovery of somatic copy number-associated drivers in cancer

2019-03-11

Abstract excerpt

The emergence of large-scale multi-omics data warrants method development for data integration. Genomic studies from cancer patients have identified epigenetic and genetic regulators – such as methylation marks, somatic mutations, and somatic copy number alterations (SCNAs), among others – as predictive features of cancer outcome. However, identification of “driver genes” associated with a given alteration remains...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 7f823387-eb6e-50f8-b5d1-32610980f70e
DOI: 10.1101/573824

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

iEDGE: integration of Epi-DNA and Gene Expression and applications to the discovery of somatic copy number-associated drivers in cancerDOI 10.1101/573824Read

Identification of candidate cancer drivers by integrative Epi-DNA and Gene Expression (iEDGE) data analysis.Semantic proximity Read

Cancer driver gene discovery through an integrative genomics approach in a non-parametric Bayesian framework.Semantic proximity Read

Identifying potential cancer driver genes by genomic data integration.Semantic proximity Read

Epigenetic and genetic deregulation in cancer target distinct signaling pathway domains.Semantic proximity Read

Bioinformatics analysis of thousands of TCGA tumors to determine the involvement of epigenetic regulators in human cancerSemantic proximity Read

Pattern discovery and cancer gene identification in integrated cancer genomic dataSemantic proximity Read

Genetic determinants of the molecular portraits of epithelial cancers.Semantic proximity Read

Integrative network-based approach identifies key genetic elements in breast invasive carcinoma.Semantic proximity Read

Epigenetic and genetic burden measures are associated with tumor characteristics in invasive breast carcinoma.Semantic proximity Read

Exploring drivers of gene expression in the Cancer Genome AtlasSemantic proximity Read

Connecting Cancers to Chromosomal Locations Through Copy Number VariationsSemantic proximity Read

Driver gene detection through Bayesian network integration of mutation and expression profiles.Semantic proximity Read