Co-varying neighborhood analysis identifies cell populations associated with phenotypes of interest from single-cell transcriptomics.

Reshef, Yakir A; Rumker, Laurie; Kang, Joyce B; Nathan, Aparna; Korsunsky, Ilya; Asgari, Samira; Murray, Megan B; Moody, D Branch; Raychaudhuri, Soumya

Reshef, Yakir A; Rumker, Laurie; Kang, Joyce B; Nathan, Aparna; Korsunsky, Ilya; Asgari, Samira; Murray, Megan B; Moody, D Branch; Raychaudhuri, Soumya.

Afiliação

Reshef YA; Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA.
Rumker L; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Kang JB; Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Nathan A; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Korsunsky I; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Asgari S; Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA.
Murray MB; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Moody DB; Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Raychaudhuri S; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.

Nat Biotechnol ; 40(3): 355-363, 2022 03.

Article em En | MEDLINE | ID: mdl-34675423

Assuntos

Linfócitos T; Transcriptoma; Análise por Conglomerados; Fenótipo; Transcriptoma/genética

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Linfócitos T / Transcriptoma Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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