Effective Cancer Detection Using Soft Computing Technique

摘要: Cancer research is rudimentary which done to identify causes and develop strategies for prevention, diagnosis, treatment cure. An optimized solution the better of cancer toxicity minimization on patient performed by identifying exact type tumor. A clear classification analysis system required get a picture insight problem. systematic approach analyze global gene expression followed problem area. Molecular diagnostics provide promising option human classification. But these types tests are not mostly applied because characteristics molecular markers have yet be identified most solid tumors. Recently, DNA micro-array based tumor profiles been used diagnosis. In proposed system, expressions taken from multiple sources an ontological store created. Ant colony optimization technique cluster data with attribute match association rule detecting using acquired knowledge. Keywords: Gene expression, cells, store; I. Introduction Data mining widely obtain knowledge existing history data. The large collection sets stored in database concept we can bases known as warehouse. has its applications field computer science, statistics, artificial intelligence many other fields. several stages such pre-processing, validation stages. pre-processing first stage collected arranged proper structure or format suitable process. unwanted, unambiguous redundant removed repository structured base removal unwanted cleaning. second actual work done. Various techniques clustering, pattern matching, regression, classification, etc. previously unknown third final results obtained process validated. result produced always prone correct therefore should study genetics, sequence helps address important goal understanding mapping relationship between inter-individual variations variability disease prediction. simple words, it aims find out how changes individual's affects risks developing common diseases cancer, great importance improve methods detecting, preventing, handling diseases.