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Application of Microarray Technology and Softcomputing in Cancer Biology : A Review

Keywords: DNA Microarray , Classification , Data Mining , Soft Computing , Gene Expression.

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Abstract:

DNA microarray technology has emerged as a boon to the scientific community in understanding thegrowth and development of life as well as in widening their knowledge in exploring the geneticcauses of anomalies occurring in the working of the human body. microarray technology makesbiologists be capable of monitoring expression of thousands of genes in a single experiment on asmall chip. Extracting useful knowledge and info from these microarray has attracted the attention ofmany biologists and computer scientists. Knowledge engineering has revolutionalized the way inwhich the medical data is being looked at. Soft computing is a branch of computer science capable ofanalyzing complex medical data. Advances in the area of microarray –based expression analysishave led to the promise of cancer diagnosis using new molecular based approaches. Many studiesand methodologies have come up which analyszes the gene espression data by using thetechniques in data mining such as feature selection, classification, clustering etc. emboiding the softcomputing methods for more accuracy. This review is an attempt to look at the recent advances incancer research with DNA microarray technology , data mining and soft computing techniques.

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