Linguistic recognition system for identification of some possible genes mediating the development of lung adenocarcinoma

Authors:
Rajat K. De;Anupam Ghosh
Affiliations:
Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India;Department of Computer Science and Engineering, Netaji Subhash Engineering College, Kolkata, India
Venue:
Information Fusion
Year:
2009

Citing 5
Cited 2

Fuzzy mathematical approach to pattern recognition

Fuzzy mathematical approach to pattern recognition
Linguistic recognition system based on approximate reasoning

Information Sciences: an International Journal
Mining top-K covering rule groups for gene expression data

Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Small, fuzzy and interpretable gene expression based classifiers

Bioinformatics
Classification of gene expression data using fuzzy logic

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Challenges for future intelligent systems in biomedicine

Editorial: Information fusion in the realm of medical applications - A bibliographic glimpse at its growing appeal

Information Fusion
A fuzzy intelligent approach to the classification problem in gene expression data analysis

Knowledge-Based Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

In the present article, we develop a linguistic recognition system for identification of some possible genes mediating the development of human lung adenocarcinoma. The methodology involves dimensionality reduction, classifying the genes through incorporation of the notion of linguistic fuzzy sets low, medium and high, and finally selection of some possible genes obtained by a rule generation/grouping technique. The system has been successfully applied on two microarray gene expression data sets. The results are appropriately validated by some earlier investigations, gene expression profiles and t-test. The proposed methodology has been able to find more true positives than an existing one in identifying responsible genes. Moreover, we have found some new genes that may have role in mediating the development of lung adenocarcinoma.