XGEM: Predicting Essential miRNAs by the Ensembles of Various Sequence-Based Classifiers With XGBoost Algorithm.

Min, Hui; Xin, Xiao-Hong; Gao, Chu-Qiao; Wang, Likun; Du, Pu-Feng

Min, Hui; Xin, Xiao-Hong; Gao, Chu-Qiao; Wang, Likun; Du, Pu-Feng.

Afiliación

Min H; College of Intelligence and Computing, Tianjin University, Tianjin, China.
Xin XH; College of Intelligence and Computing, Tianjin University, Tianjin, China.
Gao CQ; College of Intelligence and Computing, Tianjin University, Tianjin, China.
Wang L; Institute of Systems Biomedicine, Department of Pathology, School of Basic Medical Sciences, Beijing Key Laboratory of Tumor Systems Biology, Peking-Tsinghua Center of Life Sciences, Peking University Health Science Center, Beijing, China.
Du PF; College of Intelligence and Computing, Tianjin University, Tianjin, China.

Front Genet ; 13: 877409, 2022.

Article en En | MEDLINE | ID: mdl-35419029

Palabras clave

CART; XGBoost; ensemble classifier; essential miRNA; sequence features

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

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