Identification of anoikis-related genes classification patterns and immune infiltration characterization in ischemic stroke based on machine learning.

Qin, Xiaohong; Yi, Shangfeng; Rong, Jingtong; Lu, Haoran; Ji, Baowei; Zhang, Wenfei; Ding, Rui; Wu, Liquan; Chen, Zhibiao

Qin, Xiaohong; Yi, Shangfeng; Rong, Jingtong; Lu, Haoran; Ji, Baowei; Zhang, Wenfei; Ding, Rui; Wu, Liquan; Chen, Zhibiao.

Afiliação

Qin X; Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Yi S; Central Laboratory, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Rong J; Department of Neurosurgery, Enshi Center Hospital, Enshi, Hubei, China.
Lu H; Central Laboratory, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Ji B; Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Zhang W; Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Ding R; Central Laboratory, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Wu L; Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Chen Z; Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.

Front Aging Neurosci ; 15: 1142163, 2023.

Article em En | MEDLINE | ID: mdl-37032832

Palavras-chave

anoikis; immune infiltration; immunotherapy; ischemic stroke; machine learning; molecular cluster

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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