Your browser doesn't support javascript.
loading
SparRec: An effective matrix completion framework of missing data imputation for GWAS.
Jiang, Bo; Ma, Shiqian; Causey, Jason; Qiao, Linbo; Hardin, Matthew Price; Bitts, Ian; Johnson, Daniel; Zhang, Shuzhong; Huang, Xiuzhen.
Afiliação
  • Jiang B; Research Center for Management Science and Data Analytics, School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai 200433, China.
  • Ma S; Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong.
  • Causey J; Department of Computer Science, Arkansas State University, Jonesboro, Arkansas 72467, United States of America.
  • Qiao L; The UALR/UAMS Joint Graduate Program in Bioinformatics, Little Rock, Arkansas 72204, United States of America.
  • Hardin MP; College of Computer, National University of Defense Technology, Changsha 410073, China.
  • Bitts I; Molecular Biosciences Program, Arkansas State University, Jonesboro, Arkansas 72467, United States of America.
  • Johnson D; Department of Computer Science, Arkansas State University, Jonesboro, Arkansas 72467, United States of America.
  • Zhang S; The University of Tennessee Health Science Center (UTHSC) rBIO Core Lab, Cancer Research Building Rm258, 19 S Manassas St. Memphis, TN 38163, United States of America.
  • Huang X; Department of Industrial and Systems Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States of America.
Sci Rep ; 6: 35534, 2016 10 20.
Article em En | MEDLINE | ID: mdl-27762341
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Estudo de Associação Genômica Ampla / Modelos Genéticos Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Estudo de Associação Genômica Ampla / Modelos Genéticos Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article