Detection of high variability in gene expression from single-cell RNA-seq profiling

BMC Genomics

Volumn 17, Issue , 2016, Pages

  Chen, Hung I Harry ^a,b   Jin, Yufang ^b   Huang, Yufei ^b   Chen, Yidong ^a  

^a UNIVERSITY OF TEXAS HEALTH SCIENCE CENTER AT SAN ANTONIO   (United States)

^b The University of Texas at San Antonio   (United States)

Author keywords

Cell heterogeneity; Gene expression variation model; Negative binomial distribution; Single cell; Single cell RNA Seq; Variably expressed genes

Indexed keywords

BINOMIAL DISTRIBUTION; CELL HETEROGENEITY; CELL POPULATION; ERROR; GENE EXPRESSION; MODEL; QUANTITATIVE STUDY; RNA SEQUENCE; STATISTICAL SIGNIFICANCE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; HIGH THROUGHPUT SEQUENCING; HUMAN; PROCEDURES; SINGLE CELL ANALYSIS; SOFTWARE;

RNA;

GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; RNA; SINGLE-CELL ANALYSIS; SOFTWARE;

EID: 84983239001     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/s12864-016-2897-6     Document Type: Article

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