Document Detail

A multi-view approach to cDNA micro-array analysis.
MedLine Citation:
PMID:  20852335     Owner:  NLM     Status:  MEDLINE    
Microarray has emerged as a powerful technology that enables biologists to study thousands of genes simultaneously, therefore, to obtain a better understanding of the gene interaction and regulation mechanisms. This paper is concerned with improving the processes involved in the analysis of microarray image data. The main focus is to clarify an image's feature space in an unsupervised manner. In this paper, the Image Transformation Engine (ITE), combined with different filters, is investigated. The proposed methods are applied to a set of real-world cDNA images. The MatCNN toolbox is used during the segmentation process. Quantitative comparisons between different filters are carried out. It is shown that the CLD filter is the best one to be applied with the ITE.
Bachar Zineddin; Zidong Wang; Yong Shi; Yurong Li; Min Du; Xiaohui Liu
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-09-16
Journal Detail:
Title:  International journal of computational biology and drug design     Volume:  3     ISSN:  1756-0756     ISO Abbreviation:  Int J Comput Biol Drug Des     Publication Date:  2010  
Date Detail:
Created Date:  2010-09-20     Completed Date:  2010-12-16     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101479540     Medline TA:  Int J Comput Biol Drug Des     Country:  England    
Other Details:
Languages:  eng     Pagination:  91-111     Citation Subset:  IM    
Department of Information Systems and Computing, Brunel University, Uxbridge, Middlesex, UK.
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MeSH Terms
Computational Biology / methods*
DNA, Complementary / metabolism
Image Processing, Computer-Assisted / methods*
Oligonucleotide Array Sequence Analysis / methods*
Reg. No./Substance:
0/DNA, Complementary

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