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Systematic evaluation of transcriptomics-based deconvolution methods and references using thousands of clinical samples.
Nadel, Brian B; Oliva, Meritxell; Shou, Benjamin L; Mitchell, Keith; Ma, Feiyang; Montoya, Dennis J; Mouton, Alice; Kim-Hellmuth, Sarah; Stranger, Barbara E; Pellegrini, Matteo; Mangul, Serghei.
Afiliação
  • Nadel BB; Department of Molecular Cellular and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA.
  • Oliva M; Bioinformatics Interdepartmental Degree Program, University of California Los Angeles, Los Angeles, CA, USA.
  • Shou BL; Department of Public Health Sciences, University of Chicago, 5841 South Maryland Ave, Chicago, IL 60637-1447, USA.
  • Mitchell K; School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
  • Ma F; Department of Biostatistics, Mathematical Sciences Building 4118, University of California Davis, One Shields Avenue, Davis, CA 95616, USA.
  • Montoya DJ; Department of Molecular Cellular and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA.
  • Mouton A; Department of Biochemistry and Molecular Medicine, School of Medicine, University of California, Davis, CA, USA.
  • Kim-Hellmuth S; Department of Ecology and Evolutionary Biology, UCLA, Los Angeles, CA, USA.
  • Stranger BE; InBios/Conservation Genetic Lab, University of Liege, Liege, Belgium.
  • Pellegrini M; New York Genome Center, 101 Avenue of the Americas, New York, NY 10013, USA.
  • Mangul S; Department of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital LMU Munich, Lindwurmstrasse 4, Munich 80337, Germany.
Brief Bioinform ; 22(6)2021 11 05.
Article em En | MEDLINE | ID: mdl-34346485
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transcriptoma Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transcriptoma Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos