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Items 1 - 20 of 109
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1:

Combining guilt-by-association and guilt-by-profiling to predict Saccharomyces cerevisiae gene function.

Tian W, Zhang LV, Taşan M, Gibbons FD, King OD, Park J, Wunderlich Z, Cherry JM, Roth FP.

Genome Biol. 2008;9 Suppl 1:S7. Epub 2008 Jun 27.

PMID: 18613951 [PubMed - indexed for MEDLINE]

2:

AVID: an integrative framework for discovering functional relationships among proteins.

Jiang T, Keating AE.

BMC Bioinformatics. 2005 Jun 1;6:136.

PMID: 15929793 [PubMed - indexed for MEDLINE]

3:

An en masse phenotype and function prediction system for Mus musculus.

Taşan M, Tian W, Hill DP, Gibbons FD, Blake JA, Roth FP.

Genome Biol. 2008;9 Suppl 1:S8. Epub 2008 Jun 27.

PMID: 18613952 [PubMed - indexed for MEDLINE]

5:

A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae).

Troyanskaya OG, Dolinski K, Owen AB, Altman RB, Botstein D.

Proc Natl Acad Sci U S A. 2003 Jul 8;100(14):8348-53. Epub 2003 Jun 25.

PMID: 12826619 [PubMed - indexed for MEDLINE]

6:

Hierarchical multi-label prediction of gene function.

Barutcuoglu Z, Schapire RE, Troyanskaya OG.

Bioinformatics. 2006 Apr 1;22(7):830-6. Epub 2006 Jan 12.

PMID: 16410319 [PubMed - indexed for MEDLINE]

7:

Transcriptional regulatory networks in Saccharomyces cerevisiae.

Lee TI, Rinaldi NJ, Robert F, Odom DT, Bar-Joseph Z, Gerber GK, Hannett NM, Harbison CT, Thompson CM, Simon I, Zeitlinger J, Jennings EG, Murray HL, Gordon DB, Ren B, Wyrick JJ, Tagne JB, Volkert TL, Fraenkel E, Gifford DK, Young RA.

Science. 2002 Oct 25;298(5594):799-804.

PMID: 12399584 [PubMed - indexed for MEDLINE]

8:

In silico pathway reconstruction: Iron-sulfur cluster biogenesis in Saccharomyces cerevisiae.

Alves R, Sorribas A.

BMC Syst Biol. 2007 Jan 31;1:10.

PMID: 17408500 [PubMed - indexed for MEDLINE]

9:

Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes.

McGary KL, Lee I, Marcotte EM.

Genome Biol. 2007;8(12):R258.

PMID: 18053250 [PubMed - indexed for MEDLINE]

10:

From gene networks to gene function.

Schlitt T, Palin K, Rung J, Dietmann S, Lappe M, Ukkonen E, Brazma A.

Genome Res. 2003 Dec;13(12):2568-76.

PMID: 14656964 [PubMed - indexed for MEDLINE]

11:

Inferring mouse gene functions from genomic-scale data using a combined functional network/classification strategy.

Kim WK, Krumpelman C, Marcotte EM.

Genome Biol. 2008;9 Suppl 1:S5. Epub 2008 Jun 27.

PMID: 18613949 [PubMed - indexed for MEDLINE]

12:

A novel stepwise analysis procedure of genome-wide expression profiles identifies transcript signatures of thiamine genes as classifiers of mitochondrial mutants.

Eijssen LM, Lindsey PJ, Peeters R, Westra RL, van Eijsden RG, Bolotin-Fukuhara M, Smeets HJ, Vlietinck RF.

Yeast. 2008 Feb;25(2):129-40.

PMID: 18081196 [PubMed - indexed for MEDLINE]

13:

Beyond synexpression relationships: local clustering of time-shifted and inverted gene expression profiles identifies new, biologically relevant interactions.

Qian J, Dolled-Filhart M, Lin J, Yu H, Gerstein M.

J Mol Biol. 2001 Dec 14;314(5):1053-66.

PMID: 11743722 [PubMed - indexed for MEDLINE]

14:

False positive reduction in protein-protein interaction predictions using gene ontology annotations.

Mahdavi MA, Lin YH.

BMC Bioinformatics. 2007 Jul 23;8:262.

PMID: 17645798 [PubMed - indexed for MEDLINE]

15:

Global protein function annotation through mining genome-scale data in yeast Saccharomyces cerevisiae.

Chen Y, Xu D.

Nucleic Acids Res. 2004 Dec 7;32(21):6414-24. Print 2004.

PMID: 15585665 [PubMed - indexed for MEDLINE]

16:

Correlation and prediction of gene expression level from amino acid and dipeptide composition of its protein.

Raghava GP, Han JH.

BMC Bioinformatics. 2005 Mar 17;6:59.

PMID: 15773999 [PubMed - indexed for MEDLINE]

17:

Quantitative inference of dynamic regulatory pathways via microarray data.

Chang WC, Li CW, Chen BS.

BMC Bioinformatics. 2005 Mar 7;6:44.

PMID: 15748298 [PubMed - indexed for MEDLINE]

18:

A copula method for modeling directional dependence of genes.

Kim JM, Jung YS, Sungur EA, Han KH, Park C, Sohn I.

BMC Bioinformatics. 2008 May 1;9:225.

PMID: 18447957 [PubMed - indexed for MEDLINE]

20:

Inferring adaptive regulation thresholds and association rules from gene expression data through combinatorial optimization learning.

Ponzoni I, Azuaje F, Augusto J, Glass D.

IEEE/ACM Trans Comput Biol Bioinform. 2007 Oct-Dec;4(4):624-34.

PMID: 17975273 [PubMed - indexed for MEDLINE]

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