A test metric for assessing single-cell RNA-seq batch correction

Nature Methods

Volumn 16, Issue 1, 2019, Pages 43-49

  Büttner, Maren ^a   Miao, Zhichao ^b,c   Wolf, F Alexander ^a   Teichmann, Sarah A ^b,c,d   Theis, Fabian J ^a,e  

^a INSTITUTE OF EPIDEMIOLOGY   (Germany)

^b EUROPEAN BIOINFORMATICS INSTITUTE   (United Kingdom)

^c WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

^d UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^e TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BATCH CORRECTION; BLASTOCYST; CELL POPULATION; FLUORESCENCE ACTIVATED CELL SORTING; GENE EXPRESSION; HIGH THROUGHPUT SEQUENCING; HUMAN; HUMAN CELL; K NEAREST NEIGHBOR; MEDICAL PROCEDURES; MOUSE EMBRYONIC STEM CELL; PERIPHERAL BLOOD MONONUCLEAR CELL; PRINCIPAL COMPONENT REGRESSION; SINGLE CELL RNA SEQ; TRANSCRIPTOMICS; ALGORITHM; CLUSTER ANALYSIS; PROCEDURES; SEQUENCE ANALYSIS; SINGLE CELL ANALYSIS;

ALGORITHMS; CLUSTER ANALYSIS; SEQUENCE ANALYSIS, RNA; SINGLE-CELL ANALYSIS;

EID: 85058910761     PISSN: 15487091     EISSN: 15487105     Source Type: Journal    
DOI: 10.1038/s41592-018-0254-1     Document Type: Article

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