Gaussian graphical model-based heterogeneity analysis via penalized fusion.

Ren, Mingyang; Zhang, Sanguo; Zhang, Qingzhao; Ma, Shuangge

Ren, Mingyang; Zhang, Sanguo; Zhang, Qingzhao; Ma, Shuangge.

Afiliação

Ren M; School of Mathematics Sciences, University of Chinese Academy of Sciences, Beijing, China.
Zhang S; Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing, China.
Zhang Q; Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA.
Ma S; School of Mathematics Sciences, University of Chinese Academy of Sciences, Beijing, China.

Biometrics ; 78(2): 524-535, 2022 06.

Article em En | MEDLINE | ID: mdl-33501648

Assuntos

Carcinoma Pulmonar de Células não Pequenas; Neoplasias Pulmonares; Algoritmos; Humanos; Neoplasias Pulmonares/genética; Distribuição Normal

Palavras-chave

Gaussian graphical model; lung cancer; penalized fusion; unsupervised heterogeneity analysis

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinoma Pulmonar de Células não Pequenas / Neoplasias Pulmonares Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Biometrics Ano de publicação: 2022 Tipo de documento: Article

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