title: A joint framework for missing values estimation and biclusters detection in gene expression data.
abstract: DNA microarray experiment unavoidably generates gene expression data with missing values. This hardens subsequent analysis such as biclusters detection which aims to find a set of co-expressed genes under some experimental conditions. Missing values are thus required to be estimated before biclusters detection. Existing missing values estimation algorithms rely on finding coherence among expression values throughout the data. In view that both missing values estimation and biclusters detection aim at exploiting coherence inside the expression data, we propose to integrate these two steps into a joint framework. The benefits are twofold; the missing values estimation can improve biclusters analysis and the coherence in detected biclusters can be exploited for accurate missing values estimation. Experimental results show that the bicluster information can significantly improve the accuracy in missing values estimation. Also, the joint framework enables the detection of biologically meaningful biclusters.
authors.affiliation: Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
authors.forename: Kin-On
authors.initials: KO
authors.lastname: Cheng
authors.affiliation: Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
authors.forename: Ngai-Fong
authors.initials: NF
authors.lastname: Law
authors.affiliation: Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
authors.forename: Yui-Lam
authors.initials: YL
authors.lastname: Chan
authors.affiliation: Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
authors.forename: Wan-Chi
authors.initials: WC
authors.lastname: Siu
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D020869:Gene Expression Profiling / Q000379:methods*; D015233:Models, Statistical; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D020543:Proteome / Q000378:metabolism*; D018401:Sample Size
chemical_list: D020543:Proteome
keywords: DNA microarrays; bicluster detection; biclusters; bioinformatics; gene expression data; missing values estimation