Identification and Validation of the Diagnostic Characteristic Genes of Ovarian Cancer by Bioinformatics and Machine Learning.

Liu, Jinya; Liu, Leping; Antwi, Paul Akwasi; Luo, Yanwei; Liang, Fang

Liu, Jinya; Liu, Leping; Antwi, Paul Akwasi; Luo, Yanwei; Liang, Fang.

Afiliación

Liu J; Department of Plastic Surgery, The Third Xiangya Hospital of Central South University, Changsha, China.
Liu L; Department of Blood Transfusion, The Third Xiangya Hospital of Central South University, Changsha, China.
Antwi PA; Department of Plastic Surgery, The Third Xiangya Hospital of Central South University, Changsha, China.
Luo Y; Department of Blood Transfusion, The Third Xiangya Hospital of Central South University, Changsha, China.
Liang F; Department of Hematology and Critical Care Medicine, The Third Xiangya Hospital, Central South University, Changsha, China.

Front Genet ; 13: 858466, 2022.

Article en En | MEDLINE | ID: mdl-35719392

Palabras clave

LASSO; SVM; diagnosis; immune cell infiltration; machine learning; ovarian cancer

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Genet Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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