Microarray data mining with visual programming

被引：92

作者：

Curk, T

Demsar, J

Xu, QK

Leban, G

Petrovic, U

Bratko, I

Shaulsky, G

Zupan, B ^{[1
]}

机构：

[1] Univ Ljubljana, Fac Comp & Informat Sci, Ljubljana, Slovenia

[2] Baylor Coll Med, Dept Mol & Human Genet, Houston, TX 77030 USA

[3] Jozef Stefan Inst, Ljubljana, Slovenia

[4] Baylor Coll Med, Grad Program Struct & Computat Biol & Mol Biophys, Houston, TX 77030 USA

来源：

BIOINFORMATICS | 2005年 / 21卷 / 03期

关键词：

D O I：

10.1093/bioinformatics/bth474

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Visual programming offers an intuitive means of combining known analysis and visualization methods into powerful applications. The system presented here enables users who are not programmers to manage microarray and genomic data flow and to customize their analyses by combining common data analysis tools to fit their needs.

引用

页码：396 / 398

页数：3

共 5 条

[1] DEMSAR J, 2004, ORANGE EXPT MACHINE
[2] Fundamentals of cDNA microarray data analysis
Leung, YF
Cavalieri, D
[J]. TRENDS IN GENETICS, 2003, 19 (11) : 649 - 659
[3] Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization
Spellman, PT
Sherlock, G
Zhang, MQ
Iyer, VR
Anders, K
Eisen, MB
Brown, PO
Botstein, D
Futcher, B
[J]. MOLECULAR BIOLOGY OF THE CELL, 1998, 9 (12) : 3273 - 3297
[4] 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
[J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2003, 100 (14) : 8348 - 8353
[5] Van Driessche N, 2002, DEVELOPMENT, V129, P1543

← 1 →