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Results: 1 to 20 of 129

Similar articles for PubMed (Select 14728344)

1.

Development of gene ontology tool for biological interpretation of genomic and proteomic data.

Feng W, Wang G, Zeeberg BR, Guo K, Fojo AT, Kane DW, Reinhold WC, Lababidi S, Weinstein JN, Wang MD.

AMIA Annu Symp Proc. 2003:839.

2.

GoMiner: a resource for biological interpretation of genomic and proteomic data.

Zeeberg BR, Feng W, Wang G, Wang MD, Fojo AT, Sunshine M, Narasimhan S, Kane DW, Reinhold WC, Lababidi S, Bussey KJ, Riss J, Barrett JC, Weinstein JN.

Genome Biol. 2003;4(4):R28. Epub 2003 Mar 25.

3.

High-Throughput GoMiner, an 'industrial-strength' integrative gene ontology tool for interpretation of multiple-microarray experiments, with application to studies of Common Variable Immune Deficiency (CVID).

Zeeberg BR, Qin H, Narasimhan S, Sunshine M, Cao H, Kane DW, Reimers M, Stephens RM, Bryant D, Burt SK, Elnekave E, Hari DM, Wynn TA, Cunningham-Rundles C, Stewart DM, Nelson D, Weinstein JN.

BMC Bioinformatics. 2005 Jul 5;6:168.

4.
5.

PubMatrix: a tool for multiplex literature mining.

Becker KG, Hosack DA, Dennis G Jr, Lempicki RA, Bright TJ, Cheadle C, Engel J.

BMC Bioinformatics. 2003 Dec 10;4:61.

6.

Functional genomics and proteomics in the clinical neurosciences: data mining and bioinformatics.

Phan JH, Quo CF, Wang MD.

Prog Brain Res. 2006;158:83-108. Review.

PMID:
17027692
7.

A multivariate analysis approach to the integration of proteomic and gene expression data.

Fagan A, Culhane AC, Higgins DG.

Proteomics. 2007 Jun;7(13):2162-71.

PMID:
17549791
8.

GObar: a gene ontology based analysis and visualization tool for gene sets.

Lee JS, Katari G, Sachidanandam R.

BMC Bioinformatics. 2005 Jul 25;6:189.

9.

Global functional profiling of gene expression.

Draghici S, Khatri P, Martins RP, Ostermeier GC, Krawetz SA.

Genomics. 2003 Feb;81(2):98-104.

PMID:
12620386
10.

Gene set internal coherence in the context of functional profiling.

Montaner D, Minguez P, Al-Shahrour F, Dopazo J.

BMC Genomics. 2009 Apr 27;10:197. doi: 10.1186/1471-2164-10-197.

11.

Microarray annotation and biological information on function.

Brors B.

Methods Inf Med. 2005;44(3):468-72.

PMID:
16113775
12.

Data merging for integrated microarray and proteomic analysis.

Waters KM, Pounds JG, Thrall BD.

Brief Funct Genomic Proteomic. 2006 Dec;5(4):261-72. Epub 2006 May 10. Review.

13.
14.

An integrated strategy for the optimization of microarray data interpretation.

Li X, Quigg RJ.

Gene Expr. 2005;12(4-6):223-30. Review.

PMID:
16355722
15.

FatiGO +: a functional profiling tool for genomic data. Integration of functional annotation, regulatory motifs and interaction data with microarray experiments.

Al-Shahrour F, Minguez P, Tárraga J, Medina I, Alloza E, Montaner D, Dopazo J.

Nucleic Acids Res. 2007 Jul;35(Web Server issue):W91-6. Epub 2007 May 3.

16.

Extracting biological meaning from large gene lists with DAVID.

Huang da W, Sherman BT, Zheng X, Yang J, Imamichi T, Stephens R, Lempicki RA.

Curr Protoc Bioinformatics. 2009 Sep;Chapter 13:Unit 13.11. doi: 10.1002/0471250953.bi1311s27.

PMID:
19728287
17.

Where are we in genomics?

Hocquette JF.

J Physiol Pharmacol. 2005 Jun;56 Suppl 3:37-70. Review.

18.
19.

Visualization and analysis of microarray and gene ontology data with treemaps.

Baehrecke EH, Dang N, Babaria K, Shneiderman B.

BMC Bioinformatics. 2004 Jun 28;5:84.

20.

RACE: Remote Analysis Computation for gene Expression data.

Psarros M, Heber S, Sick M, Thoppae G, Harshman K, Sick B.

Nucleic Acids Res. 2005 Jul 1;33(Web Server issue):W638-43.

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