GESearch: An Interactive GUI Tool for Identifying Gene Expression Signature
Joint Authors
Yin, T.
Ye, Ning
Yin, Hengfu
Liu, Jingjing
Dai, Xiaogang
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-25
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Ye, Ning& Yin, Hengfu& Liu, Jingjing& Dai, Xiaogang& Yin, T.. 2015. GESearch: An Interactive GUI Tool for Identifying Gene Expression Signature. BioMed Research International،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1057012
Modern Language Association (MLA)
Ye, Ning…[et al.]. GESearch: An Interactive GUI Tool for Identifying Gene Expression Signature. BioMed Research International No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1057012
American Medical Association (AMA)
Ye, Ning& Yin, Hengfu& Liu, Jingjing& Dai, Xiaogang& Yin, T.. GESearch: An Interactive GUI Tool for Identifying Gene Expression Signature. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1057012
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057012