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Network Biology, 2016, 6(4): 86-100
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Article

Application of R to investigate common gene regulatory network pathway among bipolar disorder and associate diseases

Nahida Habib1, Kawsar Ahmed2, Iffat JabinMohammad Motiur Rahman1, Mohammad Motiur Rahman1
1Department of Computer Science and Engineering (CSE), Mawlana Bhashani Science and Technology University (MBSTU), Santosh, Tangail-1902, Bangladesh
2Department of Information and Communication Technology (ICT), Mawlana Bhashani Science and Technology University (MBSTU), Santosh, Tangail-1902, Bangladesh

Received 5 July 2016;Accepted 10 August 2016;Published 1 December 2016
IAEES

Abstract
Depression, Major Depression or mental disorder creates severe diseases. Mental illness such as Unipolar Major Depression, Bipolar Disorder, Dysthymia, Schizophrenia, Cardiovascular Diseases (Hypertension, Coronary Heart Disease, Stroke) etc., are known as Major Depression. Several studies have revealed the possibilities about the association among Bipolar Disorder, Schizophrenia, Coronary Heart Diseases and Stroke with each other. The current study aimed to investigate the relationships between genetic variants in the above four diseases and to create a common pathway or PPI network. The associated genes of each disease are collected from different gene database with verification using R. After performing some preprocessing, mining and operations using R on collected genes, seven (7) common associated genes are discovered on selected four diseases (SZ, BD, CHD and Stroke). In each of the iteration, the numbers of collected genes are reduced up to 51%, 36%, 10%, 2% and finally less than 1% respectively. Moreover, common pathway on selected diseases has been investigated in this research.

Keywords bipolar disorder;major depressive disorder;Schizophrenia;gene mining;PPI network and R toolkit..


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