Document Detail


Selection of Interdependent Genes via Dynamic Relevance Analysis for Cancer Diagnosis.
MedLine Citation:
PMID:  23124059     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Microarray analysis is widely accepted for human cancer diagnosis and classification. However the high dimensionality of microarray data poses a great challenge to classification. Gene selection plays a key role in identifying salient genes from thousands of genes in microarray data that can directly contribute to the symptom of disease. Although various excellent selection methods are currently available, one common problem of these methods is that genes which have strong discriminatory power as a group but are weak as individuals will be discarded. In this paper, a new gene selection method is proposed for cancer diagnosis and classification by retaining useful intrinsic groups of interdependent genes. The primary characteristic of this method is that the relevance between each gene and target will be dynamically updated when a new gene is selected. The effectiveness of our method is validated by experiments on six publicly available microarray data sets. Experimental results show that the classification performance and enrichment score achieved by our proposed method is better than those of other selection methods.
Authors:
Xin Sun; Yanheng Liu; Da Wei; Mantao Xu; Huiling Chen; Jiawei Han
Related Documents :
24098049 - Transcription factors, sucrose, and sucrose metabolic genes interact to regulate potato...
23865519 - Discovery and characterization of mirna genes in atlantic salmon (salmo salar) by use o...
23368839 - The contribution of the non-homologous region of prs1 to the maintenance of cell wall i...
24279449 - Identical sets of methylated and nonmethylated genes in ciona intestinalis sperm and mu...
24887289 - Analysis of mll1-deficiency identifies neurogenic transcriptional modules and brn4 as a...
23118899 - Natural variation in the velvet gene bcvel1 affects virulence and light-dependent diffe...
22166449 - Upcoming treatments in parkinson's disease, including gene therapy.
11228439 - Directed molecular evolution in plant improvement.
6328479 - Dna methylation of three 5' c-c-g-g 3' sites in the promoter and 5' region inactivate t...
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-11-1
Journal Detail:
Title:  Journal of biomedical informatics     Volume:  -     ISSN:  1532-0480     ISO Abbreviation:  J Biomed Inform     Publication Date:  2012 Nov 
Date Detail:
Created Date:  2012-11-5     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  100970413     Medline TA:  J Biomed Inform     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012. Published by Elsevier Inc.
Affiliation:
College of Computer Science and Technology, Jilin University, Changchun, Jilin, 130012, China; School of Computing, University of Eastern Finland, Joensuu, FIN-80101, Finland. Electronic address: sunxin1984@yahoo.com.cn.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Use of Raman spectroscopy in the analysis of nickel allergy.
Next Document:  Clinical Impact of the Leptin to Soluble Leptin Receptor Ratio on Subclinical Carotid Atherosclerosi...