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

Identification Hub Genes in Colorectal Cancer by Integrating Weighted Gene Co-Expression Network Analysis and Clinical Validation in vivo and vitro

30 Apr 2020

Abstract excerpt

Colorectal cancer (CRC) is the third leading cause of death worldwide. However, the key roles of most molecules in CRC remain unclear. This study aimed to identify key modules and hub genes associated with the pathogenesis of CRC. The data of the patients with CRC were obtained from the Gene Expression Omnibus (GEO) database and assessed by weighted gene co-expression network analysis (WGCNA), Gene Ontology (GO)...

Read the complete abstract on PubMed

Topics

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

Share to Bioinformatics and Genomic Networks
Share to Cancer, Lipids, and Metabolism
Share to Ferroptosis and cancer prognosis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 32426282
DOI: 10.3389/fonc.2020.00638

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification Hub Genes in Colorectal Cancer by Integrating Weighted Gene Co-Expression Network Analysis and Clinical Validation in vivo and vitroPMID 32426282Read ↗

Prediction and validation of GUCA2B as the hub-gene in colorectal cancer based on co-expression network analysis: In-silico and in-vivo studySemantic proximity Read ↗

Identification of gene modules and hub genes in colon adenocarcinoma associated with pathological stage based on WGCNA analysis.Semantic proximity Read ↗

Identification of potential hub genes via bioinformatics analysis combined with experimental verification in colorectal cancerSemantic proximity Read ↗

Identification of hub genes in colorectal cancer based on weighted gene co-expression network analysis and clinical data from The Cancer Genome AtlasSemantic proximity Read ↗

Identification of key gene modules and genes in colorectal cancer by weighted gene co-expression network analysis (WGCNA)Semantic proximity Read ↗

Identification of Hub genes with prognostic values in colorectal cancer by integrated bioinformatics analysis.Semantic proximity Read ↗

Identification of Hub Genes and Construction of a Transcriptional Regulatory Network Associated With Tumor Recurrence in Colorectal Cancer by Weighted Gene Co-expression Network AnalysisSemantic proximity Read ↗

Identification of Potential Hub Genes and Therapeutic Targets in Colorectal Cancer Using Integrated Bioinformatics ApproachesSemantic proximity Read ↗

Identification of Hub Genes Related to Carcinogenesis and Prognosis in Colorectal Cancer Based on Integrated BioinformaticsSemantic proximity Read ↗

Identification of key genes in colorectal cancer diagnosis by weighted gene co-expression network analysisSemantic proximity Read ↗

Identification of hub genes and its relationship with colorectal cancer patient prognosisSemantic proximity Read ↗

Identification of key genes involved in the development and progression of early‑onset colorectal cancer by co‑expression network analysisSemantic proximity Read ↗

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