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Evaluation of statistical approaches for association testing in noisy drug screening data.
Smirnov, Petr; Smith, Ian; Safikhani, Zhaleh; Ba-Alawi, Wail; Khodakarami, Farnoosh; Lin, Eva; Yu, Yihong; Martin, Scott; Ortmann, Janosch; Aittokallio, Tero; Hafner, Marc; Haibe-Kains, Benjamin.
Afiliación
  • Smirnov P; Department of Medical Biophysics, University of Toronto, Toronto, Canada.
  • Smith I; Princess Margaret Cancer Center, University Health Network, Toronto, Canada.
  • Safikhani Z; Department of Medical Biophysics, University of Toronto, Toronto, Canada.
  • Ba-Alawi W; Princess Margaret Cancer Center, University Health Network, Toronto, Canada.
  • Khodakarami F; Princess Margaret Cancer Center, University Health Network, Toronto, Canada.
  • Lin E; Princess Margaret Cancer Center, University Health Network, Toronto, Canada.
  • Yu Y; Princess Margaret Cancer Center, University Health Network, Toronto, Canada.
  • Martin S; Department of Discovery Oncology, Genentech Inc., South San Francisco, USA.
  • Ortmann J; Department of Discovery Oncology, Genentech Inc., South San Francisco, USA.
  • Aittokallio T; Department of Discovery Oncology, Genentech Inc., South San Francisco, USA.
  • Hafner M; Département d'analytique, opérations et technologies de l'information, École des sciences de la gestion, Université du Québec à Montréal, Montréal, Canada.
  • Haibe-Kains B; Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.
BMC Bioinformatics ; 23(1): 188, 2022 May 18.
Article en En | MEDLINE | ID: mdl-35585485
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Modelos Estadísticos Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Canadá
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Modelos Estadísticos Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Canadá