Your browser doesn't support javascript.
loading
knnAUC: an open-source R package for detecting nonlinear dependence between one continuous variable and one binary variable.
Li, Yi; Liu, Xiaoyu; Ma, Yanyun; Wang, Yi; Zhou, Weichen; Hao, Meng; Yuan, Zhenghong; Liu, Jie; Xiong, Momiao; Shugart, Yin Yao; Wang, Jiucun; Jin, Li.
Afiliación
  • Li Y; Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, China.
  • Liu X; Six Industrial Research Institute, Fudan University, Shanghai, China.
  • Ma Y; Human Phenome Institute, Fudan University, Shanghai, China.
  • Wang Y; Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, China.
  • Zhou W; Human Phenome Institute, Fudan University, Shanghai, China.
  • Hao M; Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, China.
  • Yuan Z; Six Industrial Research Institute, Fudan University, Shanghai, China.
  • Liu J; Human Phenome Institute, Fudan University, Shanghai, China.
  • Xiong M; Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, China.
  • Shugart YY; Human Phenome Institute, Fudan University, Shanghai, China.
  • Wang J; State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.
  • Jin L; Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
BMC Bioinformatics ; 19(1): 448, 2018 Nov 22.
Article en En | MEDLINE | ID: mdl-30466390
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: Análisis de Secuencia de ARN Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2018 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: Análisis de Secuencia de ARN Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: China