A flexible count data model to fit the wide diversity of expression profiles arising from extensively replicated RNA-seq experiments

BMC Bioinformatics

Volumn 14, Issue 1, 2013, Pages

  Esnaola, Mikel ^a,f   Puig, Pedro ^b   Gonzalez, David ^c   Castelo, Robert ^d,e   Gonzalez, Juan R ^a,b,e,f  

^a CENTRE FOR RESEARCH IN ENVIRONMENTAL EPIDEMIOLOGY CREAL   (Spain)

^b UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

^c CENTRE FOR GENOMIC REGULATION CRG   (Spain)

^d UNIVERSITAT POMPEU FABRA   (Spain)

^e HOSPITAL DEL MAR   (Spain)

^f CIBER EPIDEMIOLOGÍA Y SALUD PÚBLICA CIBERESP   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL VARIABILITY; CONFIGURATION PARAMETERS; DIFFERENTIAL EXPRESSIONS; DIFFERENTIALLY EXPRESSED GENE; LYMPHOBLASTOID CELLS; RNA-SEQ DATA ANALYSIS; SINGLE CONFIGURATION; STATISTICAL MODELING;

BIOINFORMATICS; CELL CULTURE; EXPERIMENTS; GENE EXPRESSION; POISSON DISTRIBUTION;

RNA;

ARTICLE; BIOLOGY; COMPUTER PROGRAM; GENE EXPRESSION PROFILING; HIGH THROUGHPUT SEQUENCING; HUMAN; METHODOLOGY; REPRODUCIBILITY; SEQUENCE ANALYSIS; STATISTICAL MODEL;

COMPUTATIONAL BIOLOGY; GENE EXPRESSION PROFILING; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; MODELS, STATISTICAL; REPRODUCIBILITY OF RESULTS; SEQUENCE ANALYSIS, RNA; SOFTWARE;

EID: 84882359581     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-254     Document Type: Article

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