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

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

9 Feb 2022

Abstract excerpt

BACKGROUND: Several serious attempts to treat colorectal cancer have been made in recent decades. However, no effective treatment has yet been discovered due to the complexities of its etiology. METHODS: we used Weighted Gene Co-expression Network Analysis (WGCNA) to identify key modules, hub-genes, and mRNA-miRNA regulatory networks associated with CRC. Next, enrichment analysis of modules has been performed...

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-related molecular mechanisms research
Share to Ferroptosis and cancer prognosis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 35151227
DOI: 10.1016/j.biopha.2022.112691

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Prediction and validation of GUCA2B as the hub-gene in colorectal cancer based on co-expression network analysis: In-silico and in-vivo studyPMID 35151227Read ↗

Integrated Analysis of Oncogenic Networks in Colorectal Cancer Identifies GUCA2A as a Molecular MarkerSemantic proximity Read ↗

Identification Hub Genes in Colorectal Cancer by Integrating Weighted Gene Co-Expression Network Analysis and Clinical Validation in vivo and vitroSemantic 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 key gene modules and genes in colorectal cancer by weighted gene co-expression network analysis (WGCNA)Semantic proximity Read ↗

Identification of Key Genes Involved in Colorectal Cancer: A Bioinformatics AnalysisSemantic proximity Read ↗

Construction of CeRNA Regulatory Network based on WGCNA Reveals Diagnosis Biomarkers for Colorectal CancerSemantic proximity Read ↗

Identification of hub genes and construction of an mRNA-miRNA-lncRNA network of gastric carcinoma using integrated bioinformatics analysis.Semantic proximity Read ↗

Identification of Hub genes with prognostic values in colorectal cancer by integrated bioinformatics analysis.Semantic 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 genes involved in the development and progression of early‑onset colorectal cancer by co‑expression network analysisSemantic proximity Read ↗

Identification of the co-expression module-trait relationships and hub genes associated with the diffuse-type gastric cancerSemantic proximity Read ↗

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