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CrossICC: iterative consensus clustering of cross-platform gene expression data without adjusting batch effect.
Zhao, Qi; Sun, Yu; Liu, Zekun; Zhang, Hongwan; Li, Xingyang; Zhu, Kaiyu; Liu, Ze-Xian; Ren, Jian; Zuo, Zhixiang.
Afiliación
  • Zhao Q; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
  • Sun Y; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
  • Liu Z; School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou, 510060, China.
  • Zhang H; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
  • Li X; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
  • Zhu K; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
  • Liu ZX; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 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 510060, China.
  • Zuo Z; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Brief Bioinform ; 21(5): 1818-1824, 2020 09 25.
Article en En | MEDLINE | ID: mdl-32978617

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Expresión Génica / Neoplasias Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Expresión Génica / Neoplasias Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: China