India						                            
                            
						
 Review Article
												An Approach towards Automated Disease Diagnosis & Drug Design Using Hybrid Rough-Decision Tree from Microarray Dataset 						
Author(s): Sudip Mandal, Goutam Saha and Rajat K. PalSudip Mandal, Goutam Saha and Rajat K. Pal             
						
												
				 Biological databases related to medical science, containing pathological, radiological and genetic information of patients is undergoing tremendous growth, beyond our analyzing capability. However such analysis can reveal new findings about the cause and subsequent treatment of any disease. Here the genetic information of Lung Adenocarcinoma, in the form of microarray dataset has been investigated which have five different stages. Rough Set Theory (RST) has been used in analysis with an aim to effectively extract biologically relevant information, as RST is a tool that works well in an environment, heavy with inconsistent and ambiguous data, or with missing data and provides efficient algorithms for finding hidden patterns in data. The investigation has been carried out on the publicly available microarray dataset obtained from the GEO profiles at National.. Read More»
				  
												DOI:
												 10.4172/0974-7230.1000130 
																	  
Journal of Computer Science & Systems Biology received 2279 citations as per Google Scholar report