Discover Community Create You

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

Data Mining Approaches for Genomic Biomarker Development: Applications Using Drug Screening Data from the Cancer Genome Project and the Cancer Cell Line Encyclopedia.

PloS one - 1 Jan 2015

Covell David G

Abstract excerpt

Developing reliable biomarkers of tumor cell drug sensitivity and resistance can guide hypothesis-driven basic science research and influence pre-therapy clinical decisions. A popular strategy for developing biomarkers uses characterizations of human tumor samples against a range of cancer drug responses that correlate with genomic change; developed largely from the efforts of the Cancer Cell Line Encyclopedia...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Antineoplastic Agents
Share to Cluster Analysis
Share to Computational Biology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Data Mining

Share to Databases, Genetic

Share to DNA Copy Number Variations

Share to Drug Discovery

Share to Drug Screening Assays, Antitumor

Source

Open in PubMed Open full text

Identifiers

PMID: 26132924
DOI: 10.1371/journal.pone.0127433
PMCID: PMC4489368

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Data Mining Approaches for Genomic Biomarker Development: Applications Using Drug Screening Data from the Cancer Genome Project and the Cancer Cell Line Encyclopedia.PMID 26132924Read ↗

Cancer Treatment in the Genomic EraSemantic proximity Read ↗

Identifying anti-cancer drug response related genes using an integrative analysis of transcriptomic and genomic variations with cell line-based drug perturbations.Semantic proximity Read ↗

Single nucleotide and copy number variants of cancer driver genes inform drug response in multiple cancers.Semantic proximity Read ↗

CAN-Scan: A multi-omic phenotype-driven precision oncology platform identifies prognostic biomarkers of therapy response for colorectal cancerSemantic proximity Read ↗

Interactive webtool for analyzing drug sensitivity and resistance associated with genetic signatures of cancer cell linesSemantic proximity Read ↗

Using CellMiner 1.6 for Systems Pharmacology and Genomic Analysis of the NCI-60.Semantic proximity Read ↗

Integrative omics analyses broaden treatment targets in human cancer.Semantic proximity Read ↗

Integrative Statistical Inferences for Drug Sensitivity Biomarkers in CancerSemantic proximity Read ↗

DROEG: a method for cancer drug response prediction based on omics and essential genes integrationSemantic proximity Read ↗

A Landscape of Pharmacogenomic Interactions in Cancer.Semantic proximity Read ↗

Genetic load makes cancer cells more sensitive to common drugs: evidence from Cancer Cell Line Encyclopedia.Semantic proximity Read ↗

The evolving role of cancer cell line-based screens to define the impact of cancer genomes on drug responseSemantic proximity Read ↗

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