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The Gene Expression Deconvolution Interactive Tool (GEDIT): accurate cell type quantification from gene expression data.
Nadel, Brian B; Lopez, David; Montoya, Dennis J; Ma, Feiyang; Waddel, Hannah; Khan, Misha M; Mangul, Serghei; Pellegrini, Matteo.
Afiliação
  • Nadel BB; Bioinformatics Interdepartmental Degree Program, Molecular Biology Institute, Department of Molecular Cellular and Developmental Biology, and Institute for Genomics and Proteomics, University of California Los Angeles, 610 Charles E Young Dr S, Los Angeles, CA 90095, USA.
  • Lopez D; Bioinformatics Interdepartmental Degree Program, Molecular Biology Institute, Department of Molecular Cellular and Developmental Biology, and Institute for Genomics and Proteomics, University of California Los Angeles, 610 Charles E Young Dr S, Los Angeles, CA 90095, USA.
  • Montoya DJ; Bioinformatics Interdepartmental Degree Program, Molecular Biology Institute, Department of Molecular Cellular and Developmental Biology, and Institute for Genomics and Proteomics, University of California Los Angeles, 610 Charles E Young Dr S, Los Angeles, CA 90095, USA.
  • Ma F; Bioinformatics Interdepartmental Degree Program, Molecular Biology Institute, Department of Molecular Cellular and Developmental Biology, and Institute for Genomics and Proteomics, University of California Los Angeles, 610 Charles E Young Dr S, Los Angeles, CA 90095, USA.
  • Waddel H; Department of Mathematics, University of Utah, 155 1400 E, Salt Lake City, UT 84112, USA.
  • Khan MM; Departments of Biology and Computer Science, Swarthmore College, 500 College Ave, Swarthmore, PA 19081, USA.
  • Mangul S; Department of Clinical Pharmacy, USC School of Pharmacy, 1450 Alcazar Street Los Angeles, CA 90089, USA.
  • Pellegrini M; Bioinformatics Interdepartmental Degree Program, Molecular Biology Institute, Department of Molecular Cellular and Developmental Biology, and Institute for Genomics and Proteomics, University of California Los Angeles, 610 Charles E Young Dr S, Los Angeles, CA 90095, USA.
Gigascience ; 10(2)2021 02 16.
Article em En | MEDLINE | ID: mdl-33590863

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2021 Tipo de documento: Article