GEPAS:: a web-based resource for microarray gene expression data analysis

被引:144
作者
Herrero, J [1 ]
Al-Shahrour, F [1 ]
Díaz-Uriarte, R [1 ]
Mateos, A [1 ]
Vaquerizas, JM [1 ]
Santoyo, J [1 ]
Dopazo, J [1 ]
机构
[1] CNIO, Bioinformat Unit, Madrid 28029, Spain
关键词
D O I
10.1093/nar/gkg591
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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).
引用
收藏
页码:3461 / 3467
页数:7
相关论文
共 27 条
[1]  
[Anonymous], 1993, Resampling-based multiple testing: Examples and methods for P-value adjustment
[2]   Gene Ontology: tool for the unification of biology [J].
Ashburner, M ;
Ball, CA ;
Blake, JA ;
Botstein, D ;
Butler, H ;
Cherry, JM ;
Davis, AP ;
Dolinski, K ;
Dwight, SS ;
Eppig, JT ;
Harris, MA ;
Hill, DP ;
Issel-Tarver, L ;
Kasarskis, A ;
Lewis, S ;
Matese, JC ;
Richardson, JE ;
Ringwald, M ;
Rubin, GM ;
Sherlock, G .
NATURE GENETICS, 2000, 25 (01) :25-29
[3]  
Benjamini Y, 2001, ANN STAT, V29, P1165
[4]   CONTROLLING THE FALSE DISCOVERY RATE - A PRACTICAL AND POWERFUL APPROACH TO MULTIPLE TESTING [J].
BENJAMINI, Y ;
HOCHBERG, Y .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1995, 57 (01) :289-300
[5]   Gene expression data analysis [J].
Brazma, A ;
Vilo, J .
FEBS LETTERS, 2000, 480 (01) :17-24
[6]   Knowledge-based analysis of microarray gene expression data by using support vector machines [J].
Brown, MPS ;
Grundy, WN ;
Lin, D ;
Cristianini, N ;
Sugnet, CW ;
Furey, TS ;
Ares, M ;
Haussler, D .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2000, 97 (01) :262-267
[7]   Phylogenetic reconstruction using an unsupervised growing neural network that adopts the topology of a phylogenetic tree [J].
Dopazo, J ;
Carazo, JM .
JOURNAL OF MOLECULAR EVOLUTION, 1997, 44 (02) :226-233
[8]  
Dudoit S, 2002, STAT SINICA, V12, P111
[9]   Cluster analysis and display of genome-wide expression patterns [J].
Eisen, MB ;
Spellman, PT ;
Brown, PO ;
Botstein, D .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1998, 95 (25) :14863-14868
[10]   Support vector machine classification and validation of cancer tissue samples using microarray expression data [J].
Furey, TS ;
Cristianini, N ;
Duffy, N ;
Bednarski, DW ;
Schummer, M ;
Haussler, D .
BIOINFORMATICS, 2000, 16 (10) :906-914