GSAR: Bioconductor package for Gene Set analysis in R

BMC Bioinformatics

Volumn 18, Issue 1, 2017, Pages

  Rahmatallah, Yasir ^a   Zybailov, Boris ^b   Emmert Streib, Frank ^c   Glazko, Galina ^a  

^a UNIVERSITY OF ARKANSAS FOR MEDICAL SCIENCES   (United States)

^b UNIVERSITY OF ARKANSAS FOR MEDICAL SCIENCES   (United States)

^c TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

Author keywords

Gene set analysis; Kolmogorov Smirnov; Minimum spanning tree; Non parametric; Pathways; Wald Wolfowitz

Indexed keywords

COMPLEX NETWORKS; OPEN SOURCE SOFTWARE; OPEN SYSTEMS; STATISTICS;

KOLMOGOROV-SMIRNOV; MINIMUM SPANNING TREES; NON-PARAMETRIC; PATHWAYS; WALD WOLFOWITZ;

GENE EXPRESSION;

LICENCE; NULL HYPOTHESIS; SOFTWARE; STATISTICAL ANALYSIS; STATISTICAL MODEL; BIOLOGY; GENE EXPRESSION; GENE EXPRESSION PROFILING; GENETIC DATABASE; GENETICS; HUMAN; METABOLISM; MULTIVARIATE ANALYSIS; PHENOTYPE; PROCEDURES; SEQUENCE ANALYSIS; THEORETICAL MODEL; TUMOR CELL LINE;

PROTEIN P53; TP53 PROTEIN, HUMAN;

CELL LINE, TUMOR; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; GENE EXPRESSION; GENE EXPRESSION PROFILING; HUMANS; MODELS, THEORETICAL; MULTIVARIATE ANALYSIS; PHENOTYPE; SEQUENCE ANALYSIS, RNA; SOFTWARE; TUMOR SUPPRESSOR PROTEIN P53;

EID: 85010460642     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-017-1482-6     Document Type: Article

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