Prediction of regulatory gene pairs using dynamic time warping and gene ontology

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题名:	Prediction of regulatory gene pairs using dynamic time warping and gene ontology
作者:	施國琛;Yang, Andy C.;Hsu, Hui-Huang;Lu, Ming-Da;Tseng, Vincent S.;Shih, Timothy K.
贡献者:	資訊電機學院資訊工程學系
关键词:	Algorithms;Biosciences and Bioinformatics;COMPUTING JOURNALS;Computing Science, Applications and Software;Data Mining - methods;Databases, Genetic;Gene Expression Profiling - methods;Gene Expression Regulation - genetics;Gene Ontology;Genes, Regulator - genetics;HEALTHCARE AND LEISURE JOURNALS;Healthcare and Medical Engineering;Oligonucleotide Array Sequence Analysis - methods;Protein Interaction Mapping - methods;TECHNICAL JOURNALS
日期:	2014-01-01
上传时间:	2026-04-23 13:57:56 (UTC+8)
出版者:	Inderscience Enterprises Ltd.;Switzerland: Inderscience Publishers Ltd
摘要:	摘要： Selecting informative genes is the most important task for data analysis on microarray gene expression data. In this work, we aim at identifying regulatory gene pairs from microarray gene expression data. However, microarray data often contain multiple missing expression values. Missing value imputation is thus needed before further processing for regulatory gene pairs becomes possible. We develop a novel approach to first impute missing values in microarray time series data by combining k-Nearest Neighbour (KNN), Dynamic Time Warping (DTW) and Gene Ontology (GO). After missing values are imputed, we then perform gene regulation prediction based on our proposed DTW-GO distance measurement of gene pairs. Experimental results show that our approach is more accurate when compared with existing missing value imputation methods on real microarray data sets. Furthermore, our approach can also discover more regulatory gene pairs that are known in the literature than other methods. 其他題名： ijdmb 出版者： Switzerland: Inderscience Publishers Ltd 出版日期： 2014-01-01 出處： International journal of data mining and bioinformatics, 2014-01, Vol.10 (2), p.121-145 版權： Copyright © 2014 Inderscience Enterprises Ltd. 識別號： ISSN: 1748-5673 識別號： EISSN: 1748-5681 識別號： DOI: 10.1504/IJDMB.2014.064010 識別號： PMID: 25796734
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