FR-Match: robust matching of cell type clusters from single cell RNA sequencing data using the Friedman-Rafsky non-parametric test.

Zhang, Yun; Aevermann, Brian D; Bakken, Trygve E; Miller, Jeremy A; Hodge, Rebecca D; Lein, Ed S; Scheuermann, Richard H

Zhang, Yun; Aevermann, Brian D; Bakken, Trygve E; Miller, Jeremy A; Hodge, Rebecca D; Lein, Ed S; Scheuermann, Richard H.

Afiliación

Zhang Y; Staff Scientist and Biostatistician in the Informatics Department at the J. Craig Venter Institute.
Aevermann BD; Senior Bioinformatics Analyst in the Informatics Department at the J. Craig Venter Institute.
Bakken TE; Allen Institute for Brain Science.
Miller JA; Allen Institute for Brain Science.
Hodge RD; Allen Institute for Brain Science.
Lein ES; Allen Institute for Brain Science.
Scheuermann RH; J. Craig Venter Institute La Jolla Campus, an Adjunct Professor of Pathology at the University of California San Diego, and an Adjunct Professor at the La Jolla Institute for Immunology.

Brief Bioinform ; 22(4)2021 07 20.

Article en En | MEDLINE | ID: mdl-33249453

Asunto(s)

Algoritmos; Corteza Cerebral/metabolismo; Bases de Datos de Ácidos Nucleicos; RNA-Seq; ARN; Humanos; ARN/biosíntesis; ARN/genética; Análisis de la Célula Individual

Palabras clave

cell types; cellular neuroscience; data integration; feature selection; non-parametric test; single cell RNA sequencing

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / ARN / Corteza Cerebral / Bases de Datos de Ácidos Nucleicos / RNA-Seq Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2021 Tipo del documento: Article

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