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2019 | OriginalPaper | Buchkapitel

Common Gene Regulatory Network for Anxiety Disorder Using Cytoscape: Detection and Analysis

verfasst von : Md. Rakibul Islam, Md. Liton Ahmed, Bikash Kumar Paul, Sayed Asaduzzaman, Kawsar Ahmed

Erschienen in: Bioinformatics and Biomedical Engineering

Verlag: Springer International Publishing

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Abstract

Data mining, computational biology and statistics are unified to a vast research area Bioinformatics. In this arena of diverse research, protein - protein interaction (PPI) is most crucial for functional biological progress. In this research work an investigation has been done by considering the several modules of data mining process. This investigation helps for the detection and analyzes gene regulatory network and PPI network for anxiety disorders. From this investigation a novel pathway has been found. Numerous studies have been done which exhibits that a strong association among diabetes, kidney disease and stroke for causing most libelous anxiety disorders. So it can be said that this research will be opened a new horizon in the area of several aspects of life science as well as Bioinformatics.

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Metadaten
Titel
Common Gene Regulatory Network for Anxiety Disorder Using Cytoscape: Detection and Analysis
verfasst von
Md. Rakibul Islam
Md. Liton Ahmed
Bikash Kumar Paul
Sayed Asaduzzaman
Kawsar Ahmed
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-030-17935-9_20

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