Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/10348
Title: Exploiting biclustering for missing value estimation in DNA microarray data
Authors: Cheng, KO
Law, NF 
Siu, WC 
Keywords: Biclustering
Gene expression
Missing value estimation
Issue Date: 2012
Source: 2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012, 2012, 6411838 How to cite?
Abstract: The missing values in gene expression data harden subsequent analysis such as biclustering which aims to find a set of coexpressed genes across a number of experimental conditions. Missing values are thus required to be estimated before biclusters detection. Existing estimation algorithms rely on finding coherence among expression values throughout the entire genes and/or across all the conditions. In view that both missing values estimation and biclusters detection aim at exploiting coherence inside the expression data, we propose to integrate them into a single framework. The benefits are twofold, the missing value estimation can improve bicluster analysis and the coherence in detected biclusters can be exploited for better missing value estimation. Experimental results show that the integrated framework outperforms existing missing values estimation algorithms. It reduces error in missing value estimation and facilitates the detection of biologically meaningful biclusters.
Description: 2012 4th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012, Hollywood, CA, 3-6 December 2012
URI: http://hdl.handle.net/10397/10348
ISBN: 9780615700502
Appears in Collections:Conference Paper

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