GET THE APP

..

Journal of Computer Science & Systems Biology

ISSN: 0974-7230

Open Access

Goutam Saha


India

Publications
  • 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

    Abstract PDF

Relevant Topics

Google Scholar citation report
Citations: 2279

Journal of Computer Science & Systems Biology received 2279 citations as per Google Scholar report

Journal of Computer Science & Systems Biology peer review process verified at publons

Indexed In

 
arrow_upward arrow_upward