Computational approaches for interpreting scRNA-seq data

FEBS Letters

Volumn 591, Issue 15, 2017, Pages 2213-2225

  Rostom, Raghd ^a   Svensson, Valentine ^b   Teichmann, Sarah A ^a   Kar, Gozde ^b  

^a WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

^b EUROPEAN BIOINFORMATICS INSTITUTE   (United Kingdom)

Author keywords

single cell analysis methods and tools; single cell genomics

Indexed keywords

BAYES THEOREM; CELL HETEROGENEITY; CELLULAR DISTRIBUTION; GENE EXPRESSION; GENE REGULATORY NETWORK; GENETIC VARIABILITY; GENOTYPE PHENOTYPE CORRELATION; HUMAN; LYMPHOCYTE DIFFERENTIATION; NONHUMAN; PRIORITY JOURNAL; REVIEW; RNA SEQUENCE; SINGLE CELL ANALYSIS; T LYMPHOCYTE; TFH CELL; TH1 CELL; TRANSCRIPTOMICS; WHOLE GENOME SEQUENCING; ANIMAL; BIOLOGY; CLUSTER ANALYSIS; PROCEDURES; SEQUENCE ANALYSIS;

ANIMALS; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; GENE EXPRESSION; HUMANS; SEQUENCE ANALYSIS, RNA; SINGLE-CELL ANALYSIS;

EID: 85021301728     PISSN: 00145793     EISSN: 18733468     Source Type: Journal    
DOI: 10.1002/1873-3468.12684     Document Type: Review

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