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Title: Design of an Integrated and Effective Platform for Gene Expression Data Mining
Authors: Vincent Shin-Mu Tseng
Lien-Chin Chen
Jian-Jie Liu
Issue Date: Oct-2004
Publisher: 國立台灣師範大學圖書資訊研究所
Graduate Institute of Library and Information Studies
Abstract: Gene expression data mining is an important issue in bioinformatics research and applications since it can effectively help discover the functions of genes in high throughput way. Although there exists some software for gene expression analysis, they are insufficient in terms of efficiency, automation, flexibility and degree of integration. In this research, we design an integrated platform, namely GeneFilter, which carries the merits of high efficiency, high degree of automation, web-based anywhere flexibility and seamless integration. A standard and automated analysis flow is designed, which includes data normalization, genes filtering, genes clustering, and genes scoring so the users can easily discover the list of interesting genes, interesting expression patterns or gene clusters across different chip-array experiments. Rich kinds of visualization modules are also provided in web-based manner such that users can visualize the analysis results flexibly at anywhere. Meanwhile, useful biological knowledge like Gene Ontology and pathway information can also be retrieved easily in the same integrated platform. Hence, the GeneFilter platform serves as a highly effective platform for gene expression data mining and has been applied to different kinds of disease analysis successfully.
Other Identifiers: 16F6F83D-FDC6-3B40-B38B-3096904EB7D4
Appears in Collections:圖書館學與資訊科學

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