Type-specific classification of bronchogenic carcinomas using bi-layer mutated particle swarm optimisation

摘要: The cancer disease is posing a big challenge in the field of pathological diagnosis. feature selection cells highly important isolating affected cells. classification gaining importance among clinical researchers. Gene expression profile (GEP) used better classifying genes cell or tissue. data (GED) differs for every gene from which tissue it originated. Based on GED can be classified into seven categories was born. infected graded level one to four based its growth and difference other unaffected Many techniques have been developed past genes. In this paper we propose modified algorithm bi-layer mutated particle swarm optimisation (BLMPSO). microarray dataset testing method Affymetrix Human Genome U95Av2 Array. simulation results showed that proposed technique performs terms than existing methods.