教師資料查詢 | 類別: 會議論文 | 教師: 呂明達 MING-DA LU (瀏覽個人網頁)

標題:Outlier Filtering for Identification of Gene Regulations in Microarray Time-Series Data
學年97
學期2
發表日期2009/03/16
作品名稱Outlier Filtering for Identification of Gene Regulations in Microarray Time-Series Data
作品名稱(其他語言)
著者Yang, Andy C.; Hsu, Hui-huang; Lu, Ming-da
作品所屬單位淡江大學資訊工程學系
出版者N.Y.: IEEE (Institute of Electrical and Electronic Engineers)
會議名稱Complex, Intelligent and Software Intensive Systems, 2009. CISIS '09. International Conference on
會議地點Fukuoka, Japan
摘要Microarray technology provides an opportunity for scientists to analyze thousands of gene expression profiles simultaneously. Time-series microarray data are gene expression values generated from microarray experiments within certain time intervals. Scientists can infer gene regulations in a biological system by judging whether two genes present similar gene expression values in microarray time-series data. Recently, a great many methods are widely applied on microarray time-series data to find out the similarity and the correlation degree among genes. Existing approaches including traditional Pearson coefficient correlation, Bayesian networks, clustering analysis, classification methods, and correlation analysis have individual disadvantages such as high computational complexity or they may be unsuitable for some microarray data. Traditional Pearson correlation coefficient is a numeric measuring method which gives novel effectiveness on two sets of numeric data. However, it is not suitable to be applied on microarray time-series data because of the existence of outliers among gene expression values. This paper presents a novel method of applying Pearson correlation coefficient along with an outlier filtering procedure on the widely-used microarray time-series datasets. Results show that the proposed method produces a better outcome compared with traditional Pearson correlation coefficient on the same dataset. Results show that the proposed method not only can find out certain more known regulatory gene pairs, but also keeps rational computational time.
關鍵字Gene Expression Analysis;Gene Regulation Identification; Microarray;Outlier Filtering;Time-Series Data
語言英文
收錄於
會議性質國際
校內研討會地點
研討會時間20090316~20090319
通訊作者
國別日本
公開徵稿Y
出版型式
出處Proceedings of the Third International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2009), pp.854-859
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