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Machine learning and data mining in complex genomic data--a review on the lessons learned in Genetic Analysis Workshop 19.
König, Inke R; Auerbach, Jonathan; Gola, Damian; Held, Elizabeth; Holzinger, Emily R; Legault, Marc-André; Sun, Rui; Tintle, Nathan; Yang, Hsin-Chou.
Afiliação
  • König IR; Institut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Universitätsklinikum Schleswig-Holstein, Campus Lübeck, Lübeck, Germany. inke.koenig@imbs.uni-luebeck.de.
  • Auerbach J; Department of Statistics, Columbia University, New York, NY, 10027, USA. jla2167@columbia.edu.
  • Gola D; Institut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Universitätsklinikum Schleswig-Holstein, Campus Lübeck, Lübeck, Germany. gola@imbs.uni-luebeck.de.
  • Held E; Department of Mathematics, Iowa State University, Ames, IA, 50011, USA. elheld@iastate.edu.
  • Holzinger ER; Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD, 21224, USA. emily.holzinger@nih.gov.
  • Legault MA; Université de Montréal, Faculty of Medicine, 2900 Chemin de la Tour, Montreal, QC, H3T 1N8, Canada. marc-andre.legault.1@umontreal.ca.
  • Sun R; Division of Biostatistics, School of Public Health and Primary Care, the Chinese University of Hong Kong, Shatin, Hong Kong SAR. rsunzju@gmail.com.
  • Tintle N; Department of Mathematics, Statistics and Computer Science, Dordt College, Sioux Center, IA, 51250, USA. nathan.tintle@dordt.edu.
  • Yang HC; Institute of Statistical Science, Academia Sinica, Nankang 115, Taipei, Taiwan. hsinchou@stat.sinica.edu.tw.
BMC Genet ; 17 Suppl 2: 1, 2016 Feb 03.
Article em En | MEDLINE | ID: mdl-26866367
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genômica / Mineração de Dados Limite: Humans Idioma: En Revista: BMC Genet Assunto da revista: BIOLOGIA MOLECULAR / BIOTECNOLOGIA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Alemanha
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genômica / Mineração de Dados Limite: Humans Idioma: En Revista: BMC Genet Assunto da revista: BIOLOGIA MOLECULAR / BIOTECNOLOGIA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Alemanha