India
Review Article
Reconstruction of Dominant Gene Regulatory Network from Microarray Data Using Rough Set and Bayesian Approach
Author(s): Sudip Mandal, Goutam Saha and Rajat Kr PalSudip Mandal, Goutam Saha and Rajat Kr Pal
Biological databases, containing genetic information of patients, are undergoing tremendous growth beyond our analysing capability. However such analysis can reveal new findings about the cause and subsequent treatment of any disease. Interactions between genes and the proteins they synthesize shape Genetic Regulatory Networks (GRN). In this context, it has been developed a model capable of representing small dominant GRN, combining characteristics from the Rough Set and Bayesian Network. The investigation has been carried out on the publicly available microarray dataset for Lung Adenocarcinoma, obtained from the National Center for Biotechnology Information (NCBI) website. The analysis revealed that Rough Set Theory (RST) is able to extract the various dominant genes in term of reducts which play an important role in causing the disease and also able to p.. Read More»
DOI:
10.4172/jcsb.1000121
Journal of Computer Science & Systems Biology received 2279 citations as per Google Scholar report