Bias, robustness and scalability in single-cell differential expression analysis

Nature Methods

Volumn 15, Issue 4, 2018, Pages 255-261

  Soneson, Charlotte ^a,b   Robinson, Mark D ^a,b  

^a UNIVERSITY OF ZURICH   (Switzerland)

^b SWISS INSTITUTE OF BIOINFORMATICS   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

SMALL CYTOPLASMIC RNA; RNA;

ARTICLE; COMPARATIVE STUDY; CYTOTOXIC T LYMPHOCYTE; FALSE POSITIVE RESULT; GENE EXPRESSION; GENETIC ANALYSIS; GENETIC ASSOCIATION; METAGENOMICS; PRIORITY JOURNAL; QUALITY CONTROL; RNA SEQUENCE; SIGNAL NOISE RATIO; SINGLE CELL ANALYSIS; BIOLOGY; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; HIGH THROUGHPUT SEQUENCING; PHYSIOLOGY; PROCEDURES; SEQUENCE ANALYSIS; SOFTWARE; STANDARDS;

COMPUTATIONAL BIOLOGY; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; RNA; SEQUENCE ANALYSIS, RNA; SINGLE-CELL ANALYSIS; SOFTWARE;

EID: 85044944299     PISSN: 15487091     EISSN: 15487105     Source Type: Journal    
DOI: 10.1038/nmeth.4612     Document Type: Article

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