GEPAS: A web-based resource for microarray gene expression data analysis.
We present a web-based pipeline for microarray gene expression profile analysis, GEPAS, which stands for Gene Expression Profile Analysis Suite (http://gepas.bioinfo.cnio.es). GEPAS is composed of different interconnected modules which include tools for data pre-processing, two-conditions comparison, unsupervised and supervised clustering (which include some of the most popular methods as well as home made algorithms) and several tests for differential gene expression among different classes, continuous variables or survival analysis. A multiple purpose tool for data mining, based on Gene Ontology, is also linked to the tools, which constitutes a very convenient way of analysing clustering results. On-line tutorials are available from our main web server (http://bioinfo.cnio.es).
18 references, click to expand
-
Gene expression data preprocessing.Bioinformatics. 2003 Mar 22;19(5):655-6 PMID: 12651726
-
Combining hierarchical clustering and self-organizing maps for exploratory analysis of gene expression patterns.J Proteome Res. 2002 Sep-Oct;1(5):467-70 PMID: 12645919
-
Analysis of gene expression data using self-organizing maps.FEBS Lett. 1999 May 21;451(2):142-6 PMID: 10371154
-
Distinctive gene expression patterns in human mammary epithelial cells and breast cancers.Proc Natl Acad Sci U S A. 1999 Aug 3;96(16):9212-7 PMID: 10430922
-
Molecular classification of cancer: class discovery and class prediction by gene expression monitoring.Science. 1999 Oct 15;286(5439):531-7 PMID: 10521349
-
Phylogenetic reconstruction using an unsupervised growing neural network that adopts the topology of a phylogenetic tree.J Mol Evol. 1997 Feb;44(2):226-33 PMID: 9069183
-
Expression monitoring by hybridization to high-density oligonucleotide arrays.Nat Biotechnol. 1996 Dec;14(13):1675-80 PMID: 9634850
-
Cluster analysis and display of genome-wide expression patterns.Proc Natl Acad Sci U S A. 1998 Dec 8;95(25):14863-8 PMID: 9843981
-
Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation.Proc Natl Acad Sci U S A. 1999 Mar 16;96(6):2907-12 PMID: 10077610
-
Knowledge-based analysis of microarray gene expression data by using support vector machines.Proc Natl Acad Sci U S A. 2000 Jan 4;97(1):262-7 PMID: 10618406
-
Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.Nat Genet. 2000 May;25(1):25-9 PMID: 10802651
-
Gene expression data analysis.FEBS Lett. 2000 Aug 25;480(1):17-24 PMID: 10967323
-
Support vector machine classification and validation of cancer tissue samples using microarray expression data.Bioinformatics. 2000 Oct;16(10):906-14 PMID: 11120680
-
A hierarchical unsupervised growing neural network for clustering gene expression patterns.Bioinformatics. 2001 Feb;17(2):126-36 PMID: 11238068
-
Use of keyword hierarchies to interpret gene expression patterns.Bioinformatics. 2001 Apr;17(4):319-26 PMID: 11301300
-
Identification of genes involved in resistance to interferon-alpha in cutaneous T-cell lymphoma.Am J Pathol. 2002 Nov;161(5):1825-37 PMID: 12414529
-
Microarray databases: standards and ontologies.Nat Genet. 2002 Dec;32 Suppl:469-73 PMID: 12454640
-
Parallel human genome analysis: microarray-based expression monitoring of 1000 genes.Proc Natl Acad Sci U S A. 1996 Oct 1;93(20):10614-9 PMID: 8855227
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