Harishchander A
In the era of post genomics, computational analysis of gene regulation in Psoriasis by the Top-down approach of computational biology to understand the pathology of disease and identifying a novel biomarker is a challenging task to execute. The challenge was approached on the context of Top-down approach [Annotation of Psoriasis associated genes from PubMed, DisGeNET and OMIM with text mining of regulators (microRNAs and Transcription Factors)] to construct and analyze the network by the approach of systems biology for understanding the disease pathology and predicting a novel and potential regulators to enhance the discovery of identifying a novel biomarker for Psoriasis in future.