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

Identifying miRNA and gene modules of colon cancer associated with pathological stage by weighted gene co-expression network analysis

1 May 2018

Abstract excerpt

INTRODUCTION: Colorectal cancer (CRC) is the fourth most common cause of cancer-related mortality worldwide. The tumor, node, metastasis (TNM) stage remains the standard for CRC prognostication. Identification of meaningful microRNA (miRNA) and gene modules or representative biomarkers related to the pathological stage of colon cancer helps to predict prognosis and reveal the mechanisms behind cancer progression....

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 Ferroptosis and cancer prognosis
Share to MicroRNA in disease regulation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 29844680
DOI: 10.2147/ott.s163891

Provenance

PubMed metadata and Literature Corpus relationships.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identifying miRNA and gene modules of colon cancer associated with pathological stage by weighted gene co-expression network analysisPMID 29844680Read ↗

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

The key miRNAs for metastasis and survival of colon adenocarcinomaSemantic proximity Read ↗

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

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

Potential Biomarkers of Colon Adenocarcinoma Based on Weighted Gene Co-Expression Network AnalysisSemantic 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 diagnostic biomarkers via weighted correlation network analysis in colorectal cancer using a system biology approachSemantic proximity Read ↗

An epithelial–mesenchymal transition-related prognostic model for colorectal cancer based on weighted gene co-expression network analysisSemantic proximity Read ↗

Comprehensive bioinformatic analysis reveals prognostic significance and functional insights of candidate gene expression in colorectal cancerSemantic proximity Read ↗

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 ↗

Weighted correlation network analysis revealed novel long non-coding RNAs for colorectal cancerSemantic proximity Read ↗

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