Maximizing statistical power to detect differentially abundant cell states with scPOST.

Millard, Nghia; Korsunsky, Ilya; Weinand, Kathryn; Fonseka, Chamith Y; Nathan, Aparna; Kang, Joyce B; Raychaudhuri, Soumya

Millard, Nghia; Korsunsky, Ilya; Weinand, Kathryn; Fonseka, Chamith Y; Nathan, Aparna; Kang, Joyce B; Raychaudhuri, Soumya.

Afiliación

Millard N; Center for Data Sciences, Brigham and Women's Hospital, Boston, MA 02115, USA.
Korsunsky I; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
Weinand K; Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
Fonseka CY; Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA.
Nathan A; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Kang JB; Center for Data Sciences, Brigham and Women's Hospital, Boston, MA 02115, USA.
Raychaudhuri S; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.

Cell Rep Methods ; 1(8)2021 11 16.

Article en En | MEDLINE | ID: mdl-35005693

Asunto(s)

Proyectos de Investigación; Simulación por Computador

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proyectos de Investigación Idioma: En Revista: Cell Rep Methods Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google