UMI-count modeling and differential expression analysis for single-cell RNA sequencing

Genome Biology

Volumn 19, Issue 1, 2018, Pages

  Chen, Wenan ^a   Li, Yan ^b   Easton, John ^a   Finkelstein, David ^a   Wu, Gang ^a   Chen, Xiang ^a  

^a ST JUDE CHILDREN S RESEARCH HOSPITAL   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Differential expression analysis; Negative binomial; Unique molecular identifier

Indexed keywords

ARTICLE; GENE EXPRESSION; HUMAN; RNA SEQUENCE; ALGORITHM; GENE EXPRESSION PROFILING; IMMUNOLOGICAL MEMORY; IMMUNOLOGY; METABOLISM; PROCEDURES; SEQUENCE ANALYSIS; SINGLE CELL ANALYSIS; STATISTICAL MODEL; T LYMPHOCYTE; TUMOR CELL LINE;

BIOLOGICAL MARKER;

ALGORITHMS; BIOMARKERS; CELL LINE, TUMOR; GENE EXPRESSION PROFILING; HUMANS; IMMUNOLOGIC MEMORY; MODELS, STATISTICAL; SEQUENCE ANALYSIS, RNA; SINGLE-CELL ANALYSIS; T-LYMPHOCYTES;

EID: 85047931125     PISSN: 14747596     EISSN: 1474760X     Source Type: Journal    
DOI: 10.1186/s13059-018-1438-9     Document Type: Article

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