ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization.

ABSTRACT:

Background

Statistical analysis of DNA microarray data provides a valuable diagnostic tool for the investigation of genetic components of diseases. To take advantage of the multitude of available data sets and analysis methods, it is desirable to combine both different algorithms and data from different studies. Applying ensemble learning, consensus clustering and cross-study normalization methods for this purpose in an almost fully automated process and linking different analysis modules together under a single interface would simplify many microarray analysis tasks.

Results

We present ArrayMining.net, a web-application for microarray analysis that provides easy access to a wide choice of feature selection, clustering, prediction, gene set analysis and cross-study normaliza

SUBMITTER: Glaab E 

PROVIDER: S-EPMC2776026 | biostudies-literature | 2009 Oct

REPOSITORIES: biostudies-literature