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Topology Analysis of Protein-protein Interaction Network and Identification of Gene Ontology for Obstructive Sleep Apnea and Associated Diseases Using Bioinformatics Tools

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dc.contributor.author Islam, Md. Rakibul
dc.contributor.author Ahmed, Md. Lition
dc.contributor.author Paul, Bikash Kumar
dc.contributor.author Ahmed, Kawsar
dc.contributor.author Bhuivan, Touhid
dc.date.accessioned 2022-01-02T06:13:32Z
dc.date.available 2022-01-02T06:13:32Z
dc.date.issued 2020-04-13
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/6623
dc.description.abstract To understand and curing human diseases biological network plays a significant role. It opens a new era on studying various human diseases. Protein-protein interaction (PPI) network is one vital factor which improving the cognition of biological organism. Moreover, various physiological activities inside the human body are liable for these interactions. In this work, a computational investigation has been done to understand PPI network from Obstructive Sleep Apnea, Cardiovascular Disease, Stroke and Epilepsy. Though this computation model total 8 common genes APOE, VEGFA, IL6, ADIPOQ, IL1B, PPARG, IGF1 and IL18 are observed. So, it can be anticipated that this work will give a great contribution in the arena of biological and biomedical sector. en_US
dc.language.iso en_US en_US
dc.publisher 2019 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), IEEE en_US
dc.subject bioinformatic en_US
dc.subject Diseases en_US
dc.subject Cardiovascular system en_US
dc.subject Medical disorders en_US
dc.subject Artificial intelligence en_US
dc.title Topology Analysis of Protein-protein Interaction Network and Identification of Gene Ontology for Obstructive Sleep Apnea and Associated Diseases Using Bioinformatics Tools en_US
dc.type Article en_US


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