GESearch: An Interactive GUI Tool for Identifying Gene Expression Signature.
The huge amount of gene expression data generated by microarray and next-generation sequencing technologies present challenges to exploit their biological meanings. When searching for the coexpression genes, the data mining process is largely affected by selection of algorithms. Thus, it is highly d...
| Published in: | BioMed Research International Vol. 2015; pp. 1 - 9 |
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| Main Authors: | , , , , |
| Format: | equations & formulas pictorial research tables/charts Journal Article |
| Published: |
Wiley-Blackwell
6/25/2015
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109274671&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109274671 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 6/25/2015 vid: 2015 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 109274671 109274671 109274671 10.1155/2015/853734 109274671 ppf: 1 ppct: 8 formats: fmt: @attributes: type: P tig: atl: GESearch: An Interactive GUI Tool for Identifying Gene Expression Signature. aug: au: Ye, Ning Yin, Hengfu Liu, Jingjing Dai, Xiaogang Yin, Tongming affil: The Southern Modern Forestry Collaborative Innovation Center, Nanjing Forestry University, Nanjing 210037, China sug: subj: Gene Expression Evaluation Microarray Analysis Sequence Analysis Software Utilization Human Funding Source Genes Algorithms User-Computer Interface Data Analysis Software Regression P-Value Cell Physiology China ab: The huge amount of gene expression data generated by microarray and next-generation sequencing technologies present challenges to exploit their biological meanings. When searching for the coexpression genes, the data mining process is largely affected by selection of algorithms. Thus, it is highly desirable to provide multiple options of algorithms in the user-friendly analytical toolkit to explore the gene expression signatures. For this purpose, we developed GESearch, an interactive graphical user interface (GUI) toolkit, which is written in MATLAB and supports a variety of gene expression data files. This analytical toolkit provides four models, including the mean, the regression, the delegate, and the ensemble models, to identify the coexpression genes, and enables the users to filter data and to select gene expression patterns by browsing the display window or by importing knowledge-based genes. Subsequently, the utility of this analytical toolkit is demonstrated by analyzing two sets of real-life microarray datasets from cell-cycle experiments. Overall, we have developed an interactive GUI toolkit that allows for choosing multiple algorithms for analyzing the gene expression signatures. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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