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Common Gene Regulatory Network for Anxiety Disorder Using Cytoscape

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dc.contributor.author Islam, Md. Rakibul
dc.contributor.author Ahmed, Md. Liton
dc.contributor.author Paul, Bikash Kumar
dc.contributor.author Asaduzzaman, Sayed
dc.contributor.author Ahmed, Kawsar
dc.date.accessioned 2022-01-23T06:53:53Z
dc.date.available 2022-01-23T06:53:53Z
dc.date.issued 2019-04-13
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/6877
dc.description.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. en_US
dc.language.iso en_US en_US
dc.publisher Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer en_US
dc.subject Bioinformatics en_US
dc.subject Genomics en_US
dc.subject PPI network en_US
dc.subject Regulatory network en_US
dc.subject Data analysis en_US
dc.subject Diabetes en_US
dc.subject Kidney disease en_US
dc.subject Stroke en_US
dc.subject Anxiety en_US
dc.title Common Gene Regulatory Network for Anxiety Disorder Using Cytoscape en_US
dc.title.alternative Detection and Analysis en_US
dc.type Article en_US


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