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A gene is a part of Deoxyribonucleic acid (DNA), which contains all the information required to analysis the defects and genetic problems that evolves in an organism. A gene is also the element of information that is transferred through transcription and translation. This paper discusses the transformation that happens in the cell either internal or external environment, that can lead to changes in gene expression.Most human and animal diseases are manifested through a mis-regulation of gene expression. The outputs of DNA Microarray are processed by computation tools to take out biological significance which may help to detect human disease. Computation tools include a variety of algorithms of data mining, pattern recognition and machine learning etc. Finding desired algorithm plays a major role in research to satisfy the requirements. Computational analysis on supervised, unsupervised and semi supervised classification are considered for survey.
- Yuan-Fang Tsai, Jinn-Moon Yang, Huai-Kuang Tsai, and Cheng-Yan Kao,(2004) ?An Evolutionary Approach for Gene Expression Patterns?, IEEE Transactions On Information Technology In Biomedicine, Vol.8, No.2, pp.69.
- van Houwelingen HC, de Menezes RX, Boer JM,(2009) ?Microarray Data Analysis?. Applied Bioinformatics. Vol 3, Issue 4, pp. 229.
- Yew-Soon Ong, Wentong Cai and Jinghui Zhong,(2015), ?Self-Learning Gene Expression Programming?, IEEE Transactions On Evolutionary Computation, Vol.2, No.3,Pages.23, 2015
- Wang P-C, Su C-T, Chen L-F, Chen K-H.(2012) ?Particle swarm optimization for feature selection with application in obstructive sleep apnea diagnosis?. Neural Computing and Application, Vol 21, Issues 8 , pp. 2087.
- Shuanhu Wu, Alan Wee-Chung Liew, (2004 )?Cluster Analysis of Gene Expression Data Based on Self-Splitting and Merging Competitive Learning?, IEEE Transactions On Information Technology In Biomedicine, Vol. 8, No. 1, pp.234.
- Safiye Celik, Scott M. Lundberg, Benjamin A. Logsdon,(2018), ?A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia?,Nature Communications9, Article?number:?42.
- Xiaojie Lu, Mingquan Ye , Lingyun Gao , Daobin Huang,(2017) ?Hybrid Method Based on Information Gain and Support Vector Machine for Gene Selection in Cancer Classification?,Genomics Proteomics Bioinformatics, Vol 15, No.1, pp. 389.
- Wang R , Miao D ,Chen Y,(2010) ?A rough set approach to feature selection based on ant colony optimization?. Pattern Recogniton Letters, Vol 31, No.3, pp. 226.
- Thusangi Wannige, Kokila K. Perera, C. (2016)?A Hybrid Algorithm for Multiple DNA Sequence Alignment?, International Conference on Advances in ICT for Emerging Regions, Vol.3, No.5,pp. 323.
- LIU Shuai, LIU Chao,(2011) ?The research on DNA Multiple Sequence Alignment Based on Adaptive Immune Genetic algorithm?, International Conference on Electronics and Optoelectronics.
- Jian Pei, Daxin Jiang, (2005), ?An Interactive Approach To Mining Gene Expression Data?, IEEE Transactions On Knowledge And Data Engineering, Vol. 17, No. 10, pp.456.
- Sankar K. Pal, ?Evolutionary Computation in Bioinformatics(2006): A Review?, IEEE Transactions on Systems, Man, and Cybernetics, Vol. 36, No. 5, pp. 601.
- Mingguang Shi and Bing Zhang,(2011)?Semi-supervised learning improves gene expression-based prediction of cancer recurrence?, 27, No. 21, pp. 3017.
- Subhendu Bhusan Rout, Satchidananda Dehury, Bhabani Sankar Prasad Mishra,(2013) ?Protein Structure Prediction using Genetic Algorithm?, International Journal of Computer Science and Mobile Computing, Vol.2, Issue.6, pp. 187.
- Luciano Milanesi, Giuliano Armano, and Alessandro Orro, (2005),?Multiple Alignment Through Protein Secondary-Structure Information?, IEEE Transactions On Nanobioscience, Vol.4, No.3, pp.34.
- Osowski S, Latkowski T.(2015) ?Data mining for feature selection in gene expression autism data.? Expert Systems with Applications, Vol 42, Issues 2, pp. 864.
- Sushmita Mitra,(2012)?Feature Selection and Clustering of Gene Expression Profiles Using Biological Knowledge?, IEEE Transactions On Systems, Man, And Cybernetics?Part C: Applications And Reviews, Vol. 42, No. 6, pp.1590.
- , Ivan G. Costa, Christine Steinhoff, Alexander Schliep and Alexander Schonhuth,(2005) ?Analyzing Gene Expression Time-Courses?, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 2, No. 3, pp. 179.
- Francisco Torres Aviles,(2014).? Data mining and influential analysis of gene expression data for plant resistance gene identification in tomato (Solanum lycopersicum)?,Electronic Journal of BiotechnologyVol 17, Issue 2, pp. 79.
- Wong, W. H , S, Liu, Cai, L, Huang, H, Blackshaw, J. S, Cepko, C. L.(2004) ?Clustering Analysis of SAGE Data Using a Poisson Approach,? Genome Biology, Vol.5, No.51, pp.56.
- Sara Tarek , Mahmoud Shoman, Reda Abd Elwahab, (2016)?Gene expression based cancer classification?, Egyptian Informatics Journal, Vol.4, No.3, pp.234.
- David Seo, MD, Geoffrey S. Ginsburg, (2006)?Gene Expression Analysis of Cardiovascular Diseases Novel Insights Into Biology and Clinical Applications?, Cardiovascular Genomic Medicine, 48, No. 2, pp. 227.
- Michelle M. Kittleson, Khalid M. Minhas,(2005) ?Gene expression analysis of ischemic and nonischemic cardiomyopathy: shared and distinct genes in the development of heart failure?,Physiol Genomics, Vol. 21, No.4, pp. 299.
- Yuting Liu, Marko Briesemann, Jun Yan, Haifang Wang,(2010) , ?Computational analysis of gene regulation in animal sleep deprivation?,Physiol Genomics,Vol.42,No.2,pp.
[K. Vimala and D. Usha. (2018); COMPUTATIONAL ANALYSIS ON GENE EXPRESSION PATTERN: A SURVEY. Int. J. of Adv. Res. 6 (Jun). 739-744] (ISSN 2320-5407). www.journalijar.com