Using pathway signatures as means of identifying similarities among microarray experiments

PLoS ONE

Volumn 4, Issue 1, 2009, Pages

  Beltrame, Luca ^a,b   Rizzetto, Lisa ^a   Paola, Raffaele ^a   Rocca Serra, Philippe ^c   Gambineri, Luca ^d   Battaglia, Cristina ^e   Cavalieri, Duccio ^a  

^a UNIVERSITY OF FLORENCE   (Italy)

^b INSTITUTE OF BIOMEDICAL TECHNOLOGIES   (Italy)

^c EUROPEAN BIOINFORMATICS INSTITUTE   (United Kingdom)

^d Inspectit   (Italy)

^e UNIVERSITY OF MILAN   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTIC METHOD; ARTICLE; CELLULAR PARAMETERS; CORRELATION COEFFICIENT; DENDRITIC CELL; EXPERIMENTAL DESIGN; FISHER EXACT TEST; GENE EXPRESSION; GENETIC DATABASE; MICROARRAY ANALYSIS; NONHUMAN; REFERENCE DATABASE; SACCHAROMYCES CEREVISIAE; STATISTICAL SIGNIFICANCE; VALIDATION PROCESS;

CLUSTER ANALYSIS; DATABASES, GENETIC; DENDRITIC CELLS; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; GENES, FUNGAL; HUMANS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; REPRODUCIBILITY OF RESULTS; SACCHAROMYCES CEREVISIAE; SIGNAL TRANSDUCTION;

EID: 76549126453     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0004128     Document Type: Article

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