ArrayProspector: A web resource of functional associations inferred from microarray expression data

Nucleic Acids Research

Volumn 32, Issue WEB SERVER ISS., 2004, Pages

  Jensen, Lars Juhl ^a,b   Lagarde, Julien ^a   von Mering, Christian ^a,b   Bork, Peer ^a,b  

^a EUROPEAN MOLECULAR BIOLOGY LABORATORY   (Germany)

^b MAX DELBRÜCK CENTER FOR MOLECULAR MEDICINE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ACCESS TO INFORMATION; ARTICLE; COMPUTER PROGRAM; DNA MICROARRAY; GENE EXPRESSION; GENE FUNCTION; GENETIC ALGORITHM; GENETIC ASSOCIATION; GENETIC DATABASE; HUMAN; HUMAN COMPUTER INTERACTION; INFORMATION PROCESSING; NONHUMAN; ONLINE SYSTEM; PREDICTION; PRIORITY JOURNAL; SAMPLING; SPECIES; TAXONOMY;

ALGORITHMS; ANIMALS; COMPUTER GRAPHICS; GENE EXPRESSION PROFILING; HUMANS; INTERNET; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROTEINS; REPRODUCIBILITY OF RESULTS; SOFTWARE; USER-COMPUTER INTERFACE;

EID: 3242880650     PISSN: 03051048     EISSN: None     Source Type: Journal    
DOI: 10.1093/nar/gkh407     Document Type: Article

References (8)

1. Eisen,M.B., Spellman,P.T., Brown,P.O. and Botstein,D. (1998) Cluster analysis and display of genome-wide expression patterns. Proc. Natl Acad. Sci., USA, 95, 14863-14868.
2. von Mering,C., Huynen,M., Jaeggi,D., Schmidt,S., Bork,P. and Snel,B. (2003) STRING: a database of predicted functional associations between proteins. Nucleic Acids Res., 31, 258-261.
3. Cho,R.J., Campbell,M.J., Winzeler,E.A., Steinmetz,L., Conway,A., Wodicka,L., Wolfsberg,T.G., Gabrielian,A.E., Landsman,D., Lockhart,D.J. et al. (1998) A genome-wide transcriptional analysis of the mitotic cell cycle. Mol. Cell, 2, 65-73.
4. Spellman,P.T., Sherlock,G., Zhang,M.Q., Iyer,V.R., Anders,K., Eisen,M.B., Brown,P.O., Botstein,D. and Futcher,B. (1998) Comprehensive identification of cell cycle-regulated genes of the yeast S. cerevisiae by microarray hybridization. Mol. Biol. Cell, 9, 3273-3297.
5. Zhao,L.P., Prentice,R. and Breeden,L. (2001) Statistical modeling of large microarray data sets to identify stimulus-response profiles. Proc. Natl Acad. Sci., USA, 98, 5631-5636.
6. Workman,C., Jensen,L.J., Jarmer,H., Berka,R., Gautier,L., Saxild,H.-H., Nielsen,C., Brunak,S. and Knudsen,S. (2002) A new non-linear normalization method to reduce variability in DNA microarray experiments. Genome Biol., 3, research0048. 1-research0048.16.
7. Kanehisa,M., Goto,S., Kawashima,S., Okuno,Y. and Hattori,M. (2004) The KEGG resource for deciphering the genome. Nucleic Acids Res., 32, D277-D280.
8. Gollub,J., Ball,C.A., Binkley,G., Demeter,J., Finkelstein,D.B. and Hebert,J. (2003) The Stanford Microarray Database: data access and quality assessment tools. Nucleic Acids Res., 31, 94-96.