Visualizing the structure of RNA-seq expression data using grade of membership models

PLoS Genetics

Volumn 13, Issue 3, 2017, Pages

  Dey, Kushal K ^a   Hsiao, Chiaowen Joyce ^a   Stephens, Matthew ^a  

^a UNIVERSITY OF CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL EXPERIMENT; BIOLOGY; CELL MATURATION; CLUSTER ANALYSIS; GENE EXPRESSION; GERM CELL; INNER CELL MASS; MODEL; MORULA; NONHUMAN; PREIMPLANTATION EMBRYO; TROPHOBLAST; ALGORITHM; ANIMAL; BLASTOCYST; BRAIN; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; HUMAN; METABOLISM; MOUSE; PROCEDURES; REPRODUCIBILITY; SEQUENCE ANALYSIS;

RNA; TRANSCRIPTOME;

ALGORITHMS; ANIMALS; BLASTOCYST; BRAIN; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, DEVELOPMENTAL; HUMANS; MICE; REPRODUCIBILITY OF RESULTS; RNA; SEQUENCE ANALYSIS, RNA; TRANSCRIPTOME;

EID: 85016564624     PISSN: 15537390     EISSN: 15537404     Source Type: Journal    
DOI: 10.1371/journal.pgen.1006599     Document Type: Article

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