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Volume : X, Issue : VIII, September - 2020 GENOME SELECTION AND CLASSIFICATION OF MICROARRAY EXPRESSION DATA FOR CANCER DETECTION Pallavi Madhukarrao Tekade, Dr. Vinod M. Vaze and Dr. Ram B. Joshi DOI : 10.9780/22307850, By : Laxmi Book Publication Abstract : Cancer cells that normally affect the growth of cells, molecules, and blood vessels that feed on tumors. For example, cancer that affects cells to frame veins that supply the cancer with oxygen and supplements expected to develop cancer cells, can remove waste products from the tumor and hide cells from the immune system. Keywords : Article : Cite This Article : Pallavi Madhukarrao Tekade, Dr. Vinod M. Vaze and Dr. Ram B. Joshi(2020). GENOME SELECTION AND CLASSIFICATION OF MICROARRAY EXPRESSION DATA FOR CANCER DETECTION. Indian Streams Research Journal, Vol. X, Issue. VIII, DOI : 10.9780/22307850, http://isrj.org/UploadedData/10486.pdf References : - Alan Fuad Jahwar and Nawzat Sadiq Ahmed (2021), ‘Swarm Intelligence Algorithms in Gene Selection Profile Based on Classification of Microarray Data: A Review’, Journal of Applied Science and Technology Trends Vol. 02, No. 01, pp. 01 –09. doi: 10.38094/jastt20161
- Alamgir Sarder, Maniruzzaman and Benojir Ahammed. Feature Selection and Classification of Leukemia Cancer Using Machine Learning Techniques. Machine Learning Research. Vol. 5, No. 2, 2020, pp. 18-27. doi: 10.11648/j.mlr.20200502.11
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