Article

Screening of Pathogenic Genes for Colorectal Cancer and Deep Learning in the Diagnosis of Colorectal Cancer

2020-01-01

Abstract excerpt

Based on complex networks and machine learning methods, this paper studies the mining of colorectal cancer treatment genes, and innovatively combines a variety of feature extraction and comparative analysis methods, from gene network features, gene attribute features, network and attribute integration The three aspects of characteristics comprehensively excavate the genetic characteristics, and demonstrate the fea...

Topics

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

Identifiers and source

Literature Corpus work: 5b8b4584-f75a-5dde-abf4-0a337cdcc47d
DOI: 10.1109/access.2020.3003999

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Screening of Pathogenic Genes for Colorectal Cancer and Deep Learning in the Diagnosis of Colorectal CancerDOI 10.1109/access.2020.3003999Read

Integrating machine learning and genetic evidence to uncover novel gene biomarkers for colorectal cancer diagnosisSemantic proximity Read

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

Single cell sequencing combined with transcriptome sequencing to build a prognostic model for colorectal cancerSemantic proximity Read

Network-based identification of biomarkers for colon adenocarcinomaSemantic proximity Read

Genetic relationship between colorectal cancer and ulcerative colitis revealed by bioinformaticsSemantic proximity Read

Identification of diagnostic biomarkers via weighted correlation network analysis in colorectal cancer using a system biology approachSemantic proximity Read

Identification of Key Candidate Genes and Pathways in Colorectal Cancer by Integrated Bioinformatical Analysis.Semantic proximity Read

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

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

Network-based identification of biomarkers for colon adenocarcinoma.Semantic proximity Read

Computational Identification of Novel Stage-Specific Biomarkers in Colorectal Cancer ProgressionSemantic proximity Read

Identification and validation of a novel signature as a diagnostic and prognostic biomarker in colorectal cancerSemantic proximity Read