Analysis and construction of genetic network for mice brain microarray datasets

NCUIR > College of Electrical Engineering & Computer Science > Department of Computer Science and information Engineering > journal & Dissertation > Item 987654321/106293

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106293

Title:	Analysis and construction of genetic network for mice brain microarray datasets
Authors:	洪炯宗;Chen, Jui-Ming;Liu, Yu-An;Jung, Yu-Ling;Chan, Yung-Kuan;Horng, Jorng-Tzong;Syu, Jen-Hui;Tsai, Meng-Hsiun
Contributors:	資訊電機學院資訊工程學系
Keywords:	Brain;Calcium channel;EI;Gene network;Learning;Memory learning;Pearson coefficient of correlation;SCI
Date:	2013-09-17
Issue Date:	2026-04-23 13:16:46 (UTC+8)
Publisher:	Springer International Publishing AG;台灣: 中華民國生物醫學工程學會
Abstract:	摘要： This paper intends to find out target genes about memory and learning via microarray analysis. Microarrays are often used to store and manage large amounts of data; however, there is no consensus as to how to best analyze microarray data. This paper uses computational algorithms to analyze gene samples from mice with various calcium channel phenotypes. Min-max normalization was used first to normalize the data. Then, analysis of variance was applied to detect genetic differences among the genes. Finally, Pearson correlation coefficients were calculated to identify the regulatory network of the genes. This analysis model can be applied to efficiently analyze complicated gene expression data. It can also be used to examine the biological functions and regulations of target genes. 出版者：台灣: 中華民國生物醫學工程學會出版日期： 2013-01-01 出處： Journal of Medical and Biological Engineering, 2013-01, Vol.33 (4), p.400-405 資源來源：華藝CEPS中文電子期刊服務識別號： ISSN: 1609-0985 識別號： DOI: 10.5405/jmbe.1310
Appears in Collections:	[Department of Computer Science and information Engineering] journal & Dissertation

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