Your browser doesn't support javascript.
loading
VSOLassoBag: a variable-selection oriented LASSO bagging algorithm for biomarker discovery in omic-based translational research.
Liang, Jiaqi; Wang, Chaoye; Zhang, Di; Xie, Yubin; Zeng, Yanru; Li, Tianqin; Zuo, Zhixiang; Ren, Jian; Zhao, Qi.
Afiliación
  • Liang J; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong 510060, China; State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong 510275, China.
  • Wang C; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong 510060, China.
  • Zhang D; Department of Coloproctology Surgery, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China.
  • Xie Y; Precision Medicine Institute, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510060, China.
  • Zeng Y; State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong 510275, China.
  • Li T; Computer Science Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, United States.
  • Zuo Z; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong 510060, China.
  • Ren J; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong 510060, China.
  • Zhao Q; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong 510060, China. Electronic address: zhaoqi@sysucc.org.cn.
J Genet Genomics ; 50(3): 151-162, 2023 03.
Article en En | MEDLINE | ID: mdl-36608930
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Investigación Biomédica Traslacional Tipo de estudio: Prognostic_studies Idioma: En Revista: J Genet Genomics Año: 2023 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Investigación Biomédica Traslacional Tipo de estudio: Prognostic_studies Idioma: En Revista: J Genet Genomics Año: 2023 Tipo del documento: Article País de afiliación: China