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

Molecular pathways: extracting medical knowledge from high-throughput genomic data.

Clinical cancer research : an official journal of the American Association for Cancer Research - 15 Jun 2013

Goldstein Theodore C, Paull Evan O, Ellis Matthew J, Stuart Joshua M

Abstract excerpt

High-throughput genomic data that measures RNA expression, DNA copy number, mutation status, and protein levels provide us with insights into the molecular pathway structure of cancer. Genomic lesions (amplifications, deletions, mutations) and epigenetic modifications disrupt biochemical cellular pathways. Although the number of possible lesions is vast, different genomic alterations may result in concordant...

Read the complete abstract on PubMed

Topics

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

Share to Gene Expression Regulation, Neoplastic
Share to Genomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to High-Throughput Screening Assays

Share to Metabolic Networks and Pathways

Share to Mutation

Share to Neoplasms

Share to Pathology, Molecular

Share to RNA, Messenger

Source

Open in PubMed Open full text

Identifiers

PMID: 23430023
DOI: 10.1158/1078-0432.CCR-12-2093
PMCID: PMC3686839

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

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

Molecular pathways: extracting medical knowledge from high-throughput genomic data.PMID 23430023Read ↗

Integrative pathway enrichment analysis of multivariate omics data.Semantic proximity Read ↗

Integrative pathway enrichment analysis of multivariate omics dataSemantic proximity Read ↗

An integrated analysis of the cancer genome atlas data discovers a hierarchical association structure across thirty three cancer typesSemantic proximity Read ↗

Pan-cancer evaluation of gene expression and somatic alteration data for cancer prognosis predictionSemantic proximity Read ↗

PICS: Pathway Informed Classification System for cancer analysis using gene expression dataSemantic proximity Read ↗

Pathway Relevance Ranking for Tumor Samples through Network-Based Data Integration.Semantic proximity Read ↗

Pathway-based personalized analysis of cancerSemantic proximity Read ↗

Understanding Genotype-Phenotype Effects in Cancer via Network Approaches.Semantic proximity Read ↗

Clinical interpretation of integrative molecular profiles to guide precision cancer medicineSemantic proximity Read ↗

<i>PatientProfiler:</i> A network-based approach to personalized medicineSemantic proximity Read ↗

Integrating genetic and gene expression data in network-based stratification analysis of cancersSemantic proximity Read ↗

Individualized multi-omic pathway deviation scores using multiple factor analysisSemantic proximity Read ↗

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