Mathematical Modeling of Regulatory cascade in Psoriasis

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Published Jul 26, 2021
HARISHCHANDER ANANDARAM
a:1:{s:5:"en_US";s:124:"CENTRE FOR EXCELLENCE IN COMPUTATIONAL ENGINEERING AND NETWORKING, AMRITA VISHWA VIDYAPEETHAM, COIMBATORE, TAMIL NADU, INDIA";}
https://orcid.org/0000-0003-2993-5304

Daniel Alex Anand
Department of Bioinformatics, Sathyabama University, Chennai-600119, India

Abstract

In the post-genomic era, mathematical modeling of regulatory cascades in gene-regulated networks in autoimmune diseases (AIDs) like Psoriasis is a challenging task to execute. Four computational approaches addressed the Challenge, namely (a) Gene Assisted Cascade Regulation, (b) Differential Gene Expression Cascade, (c) Gene Variant Cascade, and (d) Biologic Cascade to identify a potential biomarker for treating Psoriasis in the future.

How to Cite

ANANDARAM, H., & Alex Anand, D. . (2021). Mathematical Modeling of Regulatory cascade in Psoriasis. SPAST Abstracts, 1(01). Retrieved from https://spast.org/techrep/article/view/85
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Keywords

Autoimmune, Diseases, Psoriasis, Gene, RNA, Transcription

References
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Issue
Vol. 1 No. 01 (2021): Smart Green Connected Societies
Section
NB:Biology