Article

Genomic Expression Profiling of Colorectal Cancer in Silico

2021-03-15

Abstract excerpt

<title>Abstract</title> <p><bold>Background:</bold> Colorectal cancer (CRC) is one of the most common malignancies of the digestive system; the progression and prognosis of which are affected by a complicated network of genes and pathways. The aim of this study was to identify potential hub genes associated with the progression and prognosis of colorectal cancer (CRC).<bold>Methods:</bold> We obtained gene expres...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 6d609568-94bf-5049-9b37-3acf49ad4efe
DOI: 10.21203/rs.3.rs-310514/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Genomic Expression Profiling of Colorectal Cancer in SilicoDOI 10.21203/rs.3.rs-310514/v1Read

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

Hub Genes Related to the Pathogenesis and Progression of Colorectal Cancer and Adenoma by Integrative Bioinformatics ApproachesSemantic proximity Read

Identification of prognostic-associated genes in colorectal cancer based on genome-wide expression profilesSemantic proximity Read

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

Transcriptomic Signatures in Colorectal Cancer ProgressionSemantic proximity Read

Hub Genes and Key Pathway Identification in Colorectal Cancer Based on Bioinformatic AnalysisSemantic proximity Read

Integrated bioinformatics approach to unwind key genes and pathways involved in colorectal cancerSemantic proximity Read

The identification of a common different gene expression signature in patients with colorectal cancerSemantic proximity Read

Identification of potential core genes in colorectal carcinoma and key genes in colorectal cancer liver metastasis using bioinformatics analysisSemantic proximity Read

Identification of Potential Biomarkers for Colorectal Cancer Using Bioinformatics AnalysisSemantic proximity Read

Identification of key genes for predicting colorectal cancer prognosis by integrated bioinformatics analysisSemantic proximity Read

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