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Selection of models for the analysis of risk-factor trees: leveraging biological knowledge to mine large sets of risk factors with application to microbiome data.
Zhang, Qunyuan; Abel, Haley; Wells, Alan; Lenzini, Petra; Gomez, Felicia; Province, Michael A; Templeton, Alan A; Weinstock, George M; Salzman, Nita H; Borecki, Ingrid B.
Afiliación
  • Zhang Q; Division of Statistical Genomics, Washington University School of Medicine, St. Louis, MO, USA, Department of Biology, Washington University, St. Louis, MO, USA, The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA and Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI
  • Abel H; Division of Statistical Genomics, Washington University School of Medicine, St. Louis, MO, USA, Department of Biology, Washington University, St. Louis, MO, USA, The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA and Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI
  • Wells A; Division of Statistical Genomics, Washington University School of Medicine, St. Louis, MO, USA, Department of Biology, Washington University, St. Louis, MO, USA, The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA and Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI
  • Lenzini P; Division of Statistical Genomics, Washington University School of Medicine, St. Louis, MO, USA, Department of Biology, Washington University, St. Louis, MO, USA, The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA and Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI
  • Gomez F; Division of Statistical Genomics, Washington University School of Medicine, St. Louis, MO, USA, Department of Biology, Washington University, St. Louis, MO, USA, The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA and Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI
  • Province MA; Division of Statistical Genomics, Washington University School of Medicine, St. Louis, MO, USA, Department of Biology, Washington University, St. Louis, MO, USA, The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA and Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI
  • Templeton AA; Division of Statistical Genomics, Washington University School of Medicine, St. Louis, MO, USA, Department of Biology, Washington University, St. Louis, MO, USA, The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA and Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI
  • Weinstock GM; Division of Statistical Genomics, Washington University School of Medicine, St. Louis, MO, USA, Department of Biology, Washington University, St. Louis, MO, USA, The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA and Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI
  • Salzman NH; Division of Statistical Genomics, Washington University School of Medicine, St. Louis, MO, USA, Department of Biology, Washington University, St. Louis, MO, USA, The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA and Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI
  • Borecki IB; Division of Statistical Genomics, Washington University School of Medicine, St. Louis, MO, USA, Department of Biology, Washington University, St. Louis, MO, USA, The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA and Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI
Bioinformatics ; 31(10): 1607-13, 2015 May 15.
Article en En | MEDLINE | ID: mdl-25568281
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Árboles de Decisión / Chlorocebus aethiops / Modelos Estadísticos / Tracto Gastrointestinal / Microbiota Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2015 Tipo del documento: Article
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Árboles de Decisión / Chlorocebus aethiops / Modelos Estadísticos / Tracto Gastrointestinal / Microbiota Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2015 Tipo del documento: Article