Time series expression analyses using RNA-seq: A statistical approach

BioMed Research International

Volumn 2013, Issue , 2013, Pages

  Oh, Sunghee ^a   Song, Seongho ^b   Grabowski, Gregory ^a   Zhao, Hongyu ^c   Noonan, James P ^c  

^a CINCINNATI CHILDREN'S HOSPITAL MEDICAL CENTER   (United States)

^b UNIVERSITY OF CINCINNATI   (United States)

^c YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; AUTOREGRESSIVE TIME LAGGED REGRESSION; CORRELATION ANALYSIS; GENE EXPRESSION; HIDDEN MARKOV MODEL; POISSON DISTRIBUTION; RNA SEQUENCE; SIMULATION; STATISTICAL ANALYSIS; STATISTICAL EVOLUTIONARY TRAJECTORY INDEX; TEMPORAL ANALYSIS; TIME SERIES ANALYSIS; GENE EXPRESSION PROFILING; GENETICS; HUMAN; METHODOLOGY; NUCLEOTIDE SEQUENCE; PROBABILITY; SEQUENCE ANALYSIS; STATISTICAL MODEL; STATISTICS;

RNA;

BASE SEQUENCE; GENE EXPRESSION; GENE EXPRESSION PROFILING; HUMANS; MARKOV CHAINS; MODELS, STATISTICAL; RNA; SEQUENCE ANALYSIS, RNA;

EID: 84876517726     PISSN: 23146133     EISSN: 23146141     Source Type: Journal    
DOI: 10.1155/2013/203681     Document Type: Article

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