Discovering local structure in gene expression data: the order-preserving submatrix problem
Proceedings of the sixth annual international conference on Computational biology
On Clustering Validation Techniques
Journal of Intelligent Information Systems
Biclustering of Expression Data
Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology
BicAT: a biclustering analysis toolbox
Bioinformatics
Using GOstats to test gene lists for GO term association
Bioinformatics
Dynamic exploration and editing of KEGG pathway diagrams
Bioinformatics
Handbook of Parametric and Nonparametric Statistical Procedures
Handbook of Parametric and Nonparametric Statistical Procedures
Genes functional coherence based on actual biological knowledge
AI Communications
Extracting and validating biclusters from binary datasets
AI Communications
Hi-index | 0.00 |
The great amount of biological information provides scientists with an incomparable framework for testing the results of new algorithms. Several tools have been developed for analysing gene-enrichment and most of them are Gene Ontology-based tools. We developed a Kyoto Encyclopedia of Genes and Genomes (Kegg)-based tool that provides a friendly graphical environment for analysing gene-enrichment. The tool integrates two statistical corrections and simultaneously analysing the information about many groups of genes in both visual and textual manner. We tested the usefulness of our approach on a previous analysis (Huttenshower et al.). Furthermore, our tool is freely available (http://www.upo.es/eps/bigs/cargene.html).