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

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11466)

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.

Keywords

Bioinformatics Genomics PPI network Regulatory network Data analysis Diabetes Kidney disease Stroke Anxiety 

Abbreviations

DB

= Diabetes

KD

= Kidney Disease

ST

= Stroke

AN

= Anxiety

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Faculty of Science and Information Technology, Software EngineeringDaffodil International University (DIU)DhakaBangladesh
  2. 2.Department of Information and Communication TechnologyMawlana Bhashani Science and Technology UniversityTangailBangladesh

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