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Deep learning-based transcription factor activity for stratification of breast cancer patients.
Xiong, Yuqiang; Wang, Shiyuan; Wei, Haodong; Li, Hanshuang; Lv, Yingli; Chi, Meng; Su, Dongqing; Lu, Qianzi; Yu, Yao; Zuo, Yongchun; Yang, Lei.
Afiliación
  • Xiong Y; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Wang S; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Wei H; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Li H; The State key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, College of Life Sciences, Inner Mongolia University, Hohhot 010070, China.
  • Lv Y; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Chi M; Department of Anesthesiology, Harbin Medical University Cancer Hospital, Harbin 150081, China.
  • Su D; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Lu Q; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Yu Y; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Zuo Y; The State key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, College of Life Sciences, Inner Mongolia University, Hohhot 010070, China; Digital College, Inner Mongolia Intelligent Union Big Data Academy, Inner Mingolia Wesure Date Technology Co., Ltd., Hohhot 010010, Chin
  • Yang L; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China. Electronic address: leiyang@hrbmu.edu.cn.
Biochim Biophys Acta Gene Regul Mech ; 1865(6): 194838, 2022 08.
Article en En | MEDLINE | ID: mdl-35690313
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Aprendizaje Profundo Tipo de estudio: Prognostic_studies Límite: Female / Humans Idioma: En Revista: Biochim Biophys Acta Gene Regul Mech Año: 2022 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Aprendizaje Profundo Tipo de estudio: Prognostic_studies Límite: Female / Humans Idioma: En Revista: Biochim Biophys Acta Gene Regul Mech Año: 2022 Tipo del documento: Article País de afiliación: China