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Inferring gene regulatory networks by integrating ChIP-seq/chip and transcriptome data via LASSO-type regularization methods.
Qin, Jing; Hu, Yaohua; Xu, Feng; Yalamanchili, Hari Krishna; Wang, Junwen.
Afiliación
  • Qin J; Department of Biochemistry, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; Shenzhen Institute of Research & Innovation, The University of Hong Kong, Shenzhen, China.
  • Hu Y; Department of Mathematics, Zhejiang University, Hangzhou, China; Department of Applied Mathematics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region, China.
  • Xu F; Department of Biochemistry, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; Shenzhen Institute of Research & Innovation, The University of Hong Kong, Shenzhen, China.
  • Yalamanchili HK; Department of Biochemistry, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; Shenzhen Institute of Research & Innovation, The University of Hong Kong, Shenzhen, China.
  • Wang J; Department of Biochemistry, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; Shenzhen Institute of Research & Innovation, The University of Hong Kong, Shenzhen, China; Centre for Genomic Sciences, LKS Faculty of Medicine, The University of Hon
Methods ; 67(3): 294-303, 2014 Jun 01.
Article en En | MEDLINE | ID: mdl-24650566
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Perfilación de la Expresión Génica / Redes Reguladoras de Genes Tipo de estudio: Prognostic_studies Idioma: En Revista: Methods Asunto de la revista: BIOQUIMICA Año: 2014 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Perfilación de la Expresión Génica / Redes Reguladoras de Genes Tipo de estudio: Prognostic_studies Idioma: En Revista: Methods Asunto de la revista: BIOQUIMICA Año: 2014 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos