Identification of over and under expressed genes mediating allergic asthma

  • Authors:

  • Rajat K. De;Anindya Bhattacharya

  • Affiliations:

  • Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India;Department of Computer Science & Engineering, Netaji Subhash Engineering College, Techno City, Garia, Kolkata, India

  • Venue:
  • IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

The present article focuses on identifying some of the genes mediating the development of asthma. Here we apply a pattern recognition based approach to identify the genes those are severely over or under expressed in the allergen samples. The methodology involves clustering on gene expression and fold values followed by determining similarity/dissimilarity among various clusters, and measuring the extent of over/under expression of genes. From this analysis we have identified several genes those have significantly changed their expression values for asthmatic condition, and have reported in the present article. Some of these observations are supported by some earlier investigations. Others have been stayed unnoticed so far, but may play crucial role in mediating the development of asthma.