Targeting c-Myc-activated genes with a correlation method: Detection of global changes in large gene expression network dynamics

Proceedings of the National Academy of Sciences of the United States of America

Volumn 102, Issue 19, 2005, Pages 6902-6906

  Remondini, D ^a   O'Connell, B ^b   Intrator, N ^b,c   Sedivy, J M ^b   Neretti, N ^a,b   Castellani, G C ^a,b   Cooper, L N ^b  

^a UNIVERSITY OF BOLOGNA   (Italy)

^b BROWN UNIVERSITY   (United States)

^c TEL AVIV UNIVERSITY   (Israel)

Author keywords

Complex systems; Gene interaction; Time series

Indexed keywords

ESTROGEN RECEPTOR; MYC PROTEIN; ONCOPROTEIN;

ANIMAL CELL; ARTICLE; CELL LINE; CORRELATION ANALYSIS; DNA MICROARRAY; DYNAMICS; FIBROBLAST; GENE EXPRESSION; GENE INTERACTION; MALIGNANT NEOPLASTIC DISEASE; NONHUMAN; NUCLEOTIDE SEQUENCE; ONCOGENE C MYC; PRIORITY JOURNAL; PROBABILITY; PROTEIN EXPRESSION; TIME; TRANSCRIPTION REGULATION;

ANALYSIS OF VARIANCE; ANIMALS; DATABASES, GENETIC; FIBROBLASTS; GENE EXPRESSION REGULATION; GENES, MYC; GENETIC TECHNIQUES; KINETICS; LIGANDS; MARKOV CHAINS; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROTO-ONCOGENE PROTEINS C-MYC; RATS; SIGNAL TRANSDUCTION; STATISTICS; TIME FACTORS; TRANSCRIPTION, GENETIC; TRANSGENES;

EID: 18744394637     PISSN: 00278424     EISSN: None     Source Type: Journal    
DOI: 10.1073/pnas.0502081102     Document Type: Article

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