Your browser doesn't support javascript.
loading
Transcriptomic heterogeneity of driver gene mutations reveals novel mutual exclusivity and improves exploration of functional associations.
Lan, Yujia; Liu, Wei; Zhang, Wanmei; Hu, Jing; Zhu, Xiaojing; Wan, Linyun; A, Suru; Ping, Yanyan; Xiao, Yun.
Afiliación
  • Lan Y; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Liu W; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Zhang W; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Hu J; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Zhu X; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Wan L; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • A S; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Ping Y; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Xiao Y; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Cancer Med ; 10(14): 4977-4993, 2021 07.
Article en En | MEDLINE | ID: mdl-34076361
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Progresión de la Enfermedad / Transcriptoma / Adenocarcinoma del Pulmón / Neoplasias Pulmonares / Mutación Tipo de estudio: Risk_factors_studies Idioma: En Revista: Cancer Med Año: 2021 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Progresión de la Enfermedad / Transcriptoma / Adenocarcinoma del Pulmón / Neoplasias Pulmonares / Mutación Tipo de estudio: Risk_factors_studies Idioma: En Revista: Cancer Med Año: 2021 Tipo del documento: Article