doi: 10.1504/ijdmb.2011.041556.
Microarray data classification by multi-information based gene scoring integrated with gene ontology
Affiliations
- PMID: 21954672
- DOI: 10.1504/ijdmb.2011.041556
Item in Clipboard
Microarray data classification by multi-information based gene scoring integrated with gene ontology
Int J Data Min Bioinform.
2011.
Abstract
Selecting informative genes is one of the most important issues for deciphering biological information hidden in gene expression data. However, due to the characteristics of microarray data with small samples and large number of genes, general feature selection methods that are not biologically relevant become questionable. In this paper, we propose a novel classification method for microarray data by integrating the multi-information based gene scoring method with biological information. Through experimental evaluation, our proposed method is shown to deliver good accuracy in classification and provide biologists with deeper insights into the relations between genes and gene function categories.
Similar articles
-
A hybrid BPSO-CGA approach for gene selection and classification of microarray data.J Comput Biol. 2012 Jan;19(1):68-82. doi: 10.1089/cmb.2010.0064. Epub 2011 Jan 6. J Comput Biol. 2012. PMID: 21210743 Free PMC article.
-
Chaotic genetic algorithm for gene selection and classification problems.OMICS. 2009 Oct;13(5):407-20. doi: 10.1089/omi.2009.0007. OMICS. 2009. PMID: 19594377
-
Statistical approach for selection of biologically informative genes.Gene. 2018 May 20;655:71-83. doi: 10.1016/j.gene.2018.02.044. Epub 2018 Feb 16. Gene. 2018. PMID: 29458166
-
Computational approaches to analysis of DNA microarray data.Yearb Med Inform. 2006:91-103. Yearb Med Inform. 2006. PMID: 17051302 Review.
-
Filter versus wrapper gene selection approaches in DNA microarray domains.Artif Intell Med. 2004 Jun;31(2):91-103. doi: 10.1016/j.artmed.2004.01.007. Artif Intell Med. 2004. PMID: 15219288 Review.