Imputing Missing Values in Microarray Data with Ontology Information
學年 99
學期 1
發表日期 2010-12-18
作品名稱 Imputing Missing Values in Microarray Data with Ontology Information
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
會議名稱 Bioinformatics and Biomedicine Workshops (BIBMW), 2010 IEEE International Conference on
會議地點 Hong Kong
摘要 Microarray technology is a big step in bioinformatics. Hidden information within the large amounts of data provides scientists with molecular functions or essential biological meanings to study and analyze. However, these data often contain a certain portion of entities that are missing. Several methods to estimate these missing values are developed, but most of them are with disadvantages. In this paper, we propose a novel approach to deal with these missing values based on a practical similarity measurement between gene pairs. Our approach takes gene expression values and gene ontology (GO) information for genes into consideration. We implement our approach on a real microarray dataset and compare its imputation accuracy with other methods. Experimental results show that our approach can estimate missing values in microarray data effectively.
關鍵字 Microarray;gene ontology;missing value
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20101218~20101221
通訊作者
國別 HKG
公開徵稿 Y
出版型式
出處 Proceeding of IEEE International Conference on Bioinformatics & Biomedicine Workshops (BIBM 2010), pp.535-540
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