Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Genetic determinants of the molecular portraits of epithelial cancers.

Nature communications - 11 Dec 2019

Xia Youli, Fan Cheng, Hoadley Katherine A, Parker Joel S, Perou Charles M

Abstract excerpt

The ability to characterize and predict tumor phenotypes is crucial to precision medicine. In this study, we present an integrative computational approach using a genome-wide association analysis and an Elastic Net prediction method to analyze the relationship between DNA copy number alterations and an archive of gene expression signatures. Across breast cancers, we are able to quantitatively predict many gene...

Topics

Join the communities discussing this publication.

Breast Neoplasms
Cancer Genomics and Diagnostics
DNA Copy Number Variations
Gene expression and cancer classification
Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Tumor Suppressor Protein p53

Source

Open in PubMed Open full text

Identifiers

PMID: 31827079
DOI: 10.1038/s41467-019-13588-2
PMCID: PMC6906458

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genetic determinants of the molecular portraits of epithelial cancers.PMID 31827079Read ↗

ENCAPP: elastic-net-based prognosis prediction and biomarker discovery for human cancersSemantic proximity Read ↗

The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups.Semantic proximity Read ↗

Transcriptional effects of copy number alterations in a large set of human cancers.Semantic proximity Read ↗

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

Pan-Cancer and Single-Cell modelling of genomic alterations through gene expressionSemantic proximity Read ↗

Assessing the clinical utility of cancer genomic and proteomic data across tumor types.Semantic proximity Read ↗

Prognostic and molecular multi-platform analysis of CALGB 40603 (Alliance) and public triple-negative breast cancer datasetsSemantic proximity Read ↗

Emerging landscape of oncogenic signatures across human cancers.Semantic proximity Read ↗

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

Signatures of copy number alterations in human cancerSemantic proximity Read ↗

Signaling network assessment of mutations and copy number variations predict breast cancer subtype-specific drug targets.Semantic proximity Read ↗

Integrating DNA Mutations and RNA Expression of Cancer Driver Genes in Asian Rare Cancers: A Pan-Cancer Analysis.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.