Removal of AU bias from microarray mRNA expression data enhances computational identification of active microRNAs

PLoS Computational Biology

Volumn 4, Issue 10, 2008, Pages

  Elkon, Ran ^a   Agami, Reuven ^a  

^a NETHERLANDS CANCER INSTITUTE   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

DATA VISUALIZATION; GENE EXPRESSION; RNA;

BIOLOGICAL NETWORKS; BIOLOGICAL PROCESS; COMPUTATIONAL BIOLOGY; COMPUTATIONAL IDENTIFICATION; EXPRESSION DATA; GENE EXPRESSION DATA; GENE RESPONSE; INTEGRATED ANALYSIS; MICROARRAY DATASET; MRNA EXPRESSION;

PROBES;

MESSENGER RNA; MICRORNA;

3' UNTRANSLATED REGION; ARTICLE; CONTROLLED STUDY; DNA MICROARRAY; GENE EXPRESSION; HUMAN; PROTEIN FOLDING; RNA ANALYSIS; RNA SEQUENCE; ANIMAL; BIOLOGY; CYTOLOGY; DNA BASE COMPOSITION; EPIDEMIOLOGY; GENE EXPRESSION PROFILING; GENETICS; HEMATOPOIESIS; HEMATOPOIETIC STEM CELL; METABOLISM; MOUSE; MULTIPOTENT STEM CELL; NUCLEIC ACID DATABASE; STATISTICS; T LYMPHOCYTE SUBPOPULATION;

3' UNTRANSLATED REGIONS; ANIMALS; BASE COMPOSITION; BIAS (EPIDEMIOLOGY); COMPUTATIONAL BIOLOGY; DATABASES, NUCLEIC ACID; GENE EXPRESSION PROFILING; HEMATOPOIESIS; HEMATOPOIETIC STEM CELLS; HUMANS; MICE; MICRORNAS; MULTIPOTENT STEM CELLS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; RNA, MESSENGER; T-LYMPHOCYTE SUBSETS;

EID: 55449117619     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000189     Document Type: Article

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