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Items: 1 to 20 of 91

1.

A literature-based method for assessing the functional coherence of a gene group.

Raychaudhuri S, Altman RB.

Bioinformatics. 2003 Feb 12;19(3):396-401.

2.

Using text analysis to identify functionally coherent gene groups.

Raychaudhuri S, Schütze H, Altman RB.

Genome Res. 2002 Oct;12(10):1582-90.

3.

GIS: a biomedical text-mining system for gene information discovery.

Chiang JH, Yu HC, Hsu HJ.

Bioinformatics. 2004 Jan 1;20(1):120-1.

PMID:
14693818
4.

Mining gene expression data for positive and negative co-regulated gene clusters.

Ji L, Tan KL.

Bioinformatics. 2004 Nov 1;20(16):2711-8.

PMID:
15145808
5.

Text mining of DNA sequence homology searches.

McCallum J, Ganesh S.

Appl Bioinformatics. 2003;2(3 Suppl):S59-63.

PMID:
15130818
6.

A literature based method for identifying gene-disease connections.

Adamic LA, Wilkinson D, Huberman BA, Adar E.

Proc IEEE Comput Soc Bioinform Conf. 2002;1:109-17.

PMID:
15838128
7.

Gene clustering by latent semantic indexing of MEDLINE abstracts.

Homayouni R, Heinrich K, Wei L, Berry MW.

Bioinformatics. 2005 Jan 1;21(1):104-15.

PMID:
15308538
8.

Gene symbol disambiguation using knowledge-based profiles.

Xu H, Fan JW, Hripcsak G, Mendonça EA, Markatou M, Friedman C.

Bioinformatics. 2007 Apr 15;23(8):1015-22.

PMID:
17314123
9.

FatiGO: a web tool for finding significant associations of Gene Ontology terms with groups of genes.

Al-Shahrour F, Díaz-Uriarte R, Dopazo J.

Bioinformatics. 2004 Mar 1;20(4):578-80.

PMID:
14990455
10.

Mining gene expression databases for association rules.

Creighton C, Hanash S.

Bioinformatics. 2003 Jan;19(1):79-86.

PMID:
12499296
11.

Mining the literature and large datasets.

LaBaer J.

Nat Biotechnol. 2003 Sep;21(9):976-7. No abstract available.

PMID:
12949554
12.
13.

The computational analysis of scientific literature to define and recognize gene expression clusters.

Raychaudhuri S, Chang JT, Imam F, Altman RB.

Nucleic Acids Res. 2003 Aug 1;31(15):4553-60.

14.

Inferring sub-cellular localization through automated lexical analysis.

Nair R, Rost B.

Bioinformatics. 2002;18 Suppl 1:S78-86.

PMID:
12169534
15.

CLENCH: a program for calculating Cluster ENriCHment using the Gene Ontology.

Shah NH, Fedoroff NV.

Bioinformatics. 2004 May 1;20(7):1196-7.

PMID:
14764555
16.

Bioinformatics methods for the analysis of expression arrays: data clustering and information extraction.

Tamames J, Clark D, Herrero J, Dopazo J, Blaschke C, Fernández JM, Oliveros JC, Valencia A.

J Biotechnol. 2002 Sep 25;98(2-3):269-83. Review.

PMID:
12141992
17.

Text mining biomedical literature for discovering gene-to-gene relationships: a comparative study of algorithms.

Liu Y, Navathe SB, Civera J, Dasigi V, Ram A, Ciliax BJ, Dingledine R.

IEEE/ACM Trans Comput Biol Bioinform. 2005 Jan-Mar;2(1):62-76.

PMID:
17044165
18.

Extraction of regulatory gene/protein networks from Medline.

Saric J, Jensen LJ, Ouzounova R, Rojas I, Bork P.

Bioinformatics. 2006 Mar 15;22(6):645-50.

PMID:
16046493
19.

Genomics. Microarrays--guilt by association.

Quackenbush J.

Science. 2003 Oct 10;302(5643):240-1.

PMID:
14551426
20.

TIGR Gene Indices clustering tools (TGICL): a software system for fast clustering of large EST datasets.

Pertea G, Huang X, Liang F, Antonescu V, Sultana R, Karamycheva S, Lee Y, White J, Cheung F, Parvizi B, Tsai J, Quackenbush J.

Bioinformatics. 2003 Mar 22;19(5):651-2.

PMID:
12651724

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