Your browser doesn't support javascript.
loading
A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data.
Rangan, Aaditya V; McGrouther, Caroline C; Kelsoe, John; Schork, Nicholas; Stahl, Eli; Zhu, Qian; Krishnan, Arjun; Yao, Vicky; Troyanskaya, Olga; Bilaloglu, Seda; Raghavan, Preeti; Bergen, Sarah; Jureus, Anders; Landen, Mikael.
Affiliation
  • Rangan AV; Mathematics, New York University, New York, New York, United States of America.
  • McGrouther CC; Center for Computational Biology, Flatiron Institute, New York, New York, United States of America.
  • Kelsoe J; Mathematics, New York University, New York, New York, United States of America.
  • Schork N; Psychiatry, University of California, San Diego, California, United States of America.
  • Stahl E; Human Biology, J. Craig Venters Institute, La Jolla, California, United States of America.
  • Zhu Q; Genetics and Genomic Sciences, Mount Sinai Medical School, New York, New York, United States of America.
  • Krishnan A; Computer Science, Princeton University, Princeton, New Jersey, United States of America.
  • Yao V; Computational Mathematics Science and Engineering, Michigan State University, East Lansing, Michigan, United States of America.
  • Troyanskaya O; Computer Science, Princeton University, Princeton, New Jersey, United States of America.
  • Bilaloglu S; Center for Computational Biology, Flatiron Institute, New York, New York, United States of America.
  • Raghavan P; Computer Science, Princeton University, Princeton, New Jersey, United States of America.
  • Bergen S; Department of Rehabilitation Medicine, New York University Medical School, New York, New York, United States of America.
  • Jureus A; Department of Rehabilitation Medicine, New York University Medical School, New York, New York, United States of America.
  • Landen M; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
PLoS Comput Biol ; 14(5): e1006105, 2018 05.
Article de En | MEDLINE | ID: mdl-29758032

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Algorithmes / Analyse de profil d'expression de gènes / Bases de données génétiques / Étude d'association pangénomique Type d'étude: Risk_factors_studies Limites: Female / Humans / Male Langue: En Journal: PLoS Comput Biol Sujet du journal: BIOLOGIA / INFORMATICA MEDICA Année: 2018 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Algorithmes / Analyse de profil d'expression de gènes / Bases de données génétiques / Étude d'association pangénomique Type d'étude: Risk_factors_studies Limites: Female / Humans / Male Langue: En Journal: PLoS Comput Biol Sujet du journal: BIOLOGIA / INFORMATICA MEDICA Année: 2018 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: États-Unis d'Amérique