Identification of hub genes and potential molecular mechanisms in gastric cancer by integrated bioinformatics analysis.

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第一作者： Ling,Cao

第一单位： Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin's Clinical Research Center for Cancer, Tianjin, Tianjin, China.;Department of Radiation Oncology, Cancer Hospital of Jilin Province, Changchun, Jilin, China.

作者： Ling,Cao ^[1] ; Yan,Chen ^[2] ; Miao,Zhang ^[3] ; De-Quan,Xu ^[3] ; Yan,Liu ^[4] ; Tonglin,Liu ^[5] ; Shi-Xin,Liu ^[3] ; Ping,Wang ^[6]

作者单位： Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin's Clinical Research Center for Cancer, Tianjin, Tianjin, China.;Department of Radiation Oncology, Cancer Hospital of Jilin Province, Changchun, Jilin, China. ^[1] Department of Gastrointestinal Surgery, First Hospital of Jilin University, Changchun, Jilin, China. ^[2] Department of Radiation Oncology, Cancer Hospital of Jilin Province, Changchun, Jilin, China. ^[3] Medical Oncology Translational Research Lab, Cancer Hospital of Jilin Province, Changchun, Jilin, China. ^[4] Information Centre, Cancer Hospital of Jilin Province, Changchun, Jilin, China. ^[5] Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin's Clinical Research Center for Cancer, Tianjin, Tianjin, China. ^[6]

关键词 Bioinformatic analysis Bioinformatic mining Differentially expressed genes Gastric cancer KEGG pathway Protein–protein interaction network miRNA-gene network

DOI 10.7717/peerj.5180

PMID 30002985

发布时间 2022-04-09

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Identification of hub genes and potential molecular mechanisms in gastric cancer by integrated bioinformatics analysis.

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Identification of hub genes and potential molecular mechanisms in gastric cancer by integrated bioinformatics analysis.

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