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Application of Microarray Technology and softcomputing in cancer Biology
K.Vaishali, A.VinayaBabu
Pages - 225 - 233     |    Revised - 01-09-2011     |    Published - 05-10-2011
Volume - 5   Issue - 4    |    Publication Date - September / October 2011  Table of Contents
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KEYWORDS
DNA Microarray, Classification, Soft Computing, Gene Expression, Data Mining
ABSTRACT
DNA microarray technology has emerged as a boon to the scientific community in understanding the growth and development of life as well as in widening their knowledge in exploring the genetic causes of anomalies occurring in the working of the human body. microarray technology makes biologists be capable of monitoring expression of thousands of genes in a single experiment on a small chip. Extracting useful knowledge and info from these microarray has attracted the attention of many biologists and computer scientists. Knowledge engineering has revolutionalized the way in which the medical data is being looked at. Soft computing is a branch of computer science capable of analyzing complex medical data. Advances in the area of microarray –based expression analysis have led to the promise of cancer diagnosis using new molecular based approaches. Many studies and methodologies have come up which analyszes the gene espression data by using the techniques in data mining such as feature selection, classification, clustering etc. emboiding the soft computing methods for more accuracy. This review is an attempt to look at the recent advances in cancer research with DNA microarray technology , data mining and soft computing techniques.
CITED BY (2)  
1 Biswas, P., Barman, B., & Mukhopadhyay, A. (2015). Construction of Co-expression and Co-regulation Network with Differentially Expressed Genes in Bone Marrow Stem Cell Microarray Data. In Information Systems Design and Intelligent Applications (pp. 761-769). Springer India.
2 Raza, K., & Jaiswal, R. (2013). Reconstruction and Analysis of Cancer-specific Gene Regulatory Networks from Gene Expression Profiles. arXiv preprint arXiv:1305.5750.
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Associate Professor K.Vaishali
JITS - India
vaishali5599@gmail.com
Dr. A.VinayaBabu
Jntu,HYD - India


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