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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/44261

Title: Transcriptome Data Visualization in Pathways with Application to Zebrafish Embryo Datasets
Authors: Chien-Ming Chen
Kuan-Jung Lai
Tun-Wen Pai
Hao-Teng Chang
Contributors: 國立臺灣海洋大學:資訊工程學系
NTOU:Department of Computer Science and Engineering
Keywords: microarray
biological pathway
mbryogenic development
Date: 2014-07
Issue Date: 2017-11-20T08:13:59Z
Publisher: The 8th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS 2014)
Abstract: Abstract:Gene expression data analysis from high throughput approaches is complicated due to its abundant scales. It is especially difficult to analyze and categorize temporal differential expression of gene groups and discover interactive relationship among genes from single gene observation. Hence, integration of temporal gene expression data and biological pathway information may provide a powerful approach for understanding dynamic gene regulatory networks. In this study, we adopted the expression data from a series of zebra fish embryo developmental stages, and integrated with KEGG biological pathways to display dynamic gene expression through both heat map and 3D visualization methods in a temporal version. Through filtering analysis, all drastically varied gene expression could be identified at different time and it reflected how these key genes play important roles during embryogenic development. The designed system could retrieve important information for temporal gene expression constrained to a specific group of genes.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/44261
Appears in Collections:[資訊工程學系] 演講及研討會

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