Gene finding and rule discovery with a multi-objective neural-genetic hybrid
Abstract
References
Index Terms
- Gene finding and rule discovery with a multi-objective neural-genetic hybrid
Recommendations
Single-layer artificial neural networks for gene expression analysis
Gene expression datasets are being produced in increasing quantities and made available on the web. Several thousands of genes are usually measured for their mRNA expression levels per sample using Affymetrix gene chips and Stanford microarrays, for ...
Gene expression rule discovery and multi-objective ROC analysis using a neural-genetic hybrid
Microarray data allows an unprecedented view of the biochemical mechanisms contained within a cell although deriving useful information from the data is still proving to be a difficult task. In this paper, a novel method based on a multi-objective ...
Techniques of biclustering in gene expression analysis
ITIB'12: Proceedings of the Third international conference on Information Technologies in BiomedicineDNA microarrays allow to observe expression levels of large numbers of genes under different experimental conditions. One of the main goals in the gene expression analysis is clustering genes with similar expression patterns under specified conditions ...
Comments
Information & Contributors
Information
Published In

Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Article
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 128Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in