Deep Learning in Bioinformatics Applications
Keywords:
.Abstract
Deep Learning Mechanisam (CA) is a computing model which provides a good platform for performing complex computations with the available local information. In recent years, Deep Learning Mechanisam (DLM) study as a potential modeling tool has gained importance. Some researchers and scientists have used DLM in image processing, data compression, pattern recognition, encryption, VLSI design and language recognition. This paper depits the importance of DLM on the applications of bioinformatics.
References
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2. Sree Pk, Babu IR et al. Identification of Promoter Region in Genomic DNA Using Cellular Automata Based Text Clustering. The International Arab Journal of Information Technology (IAJIT) 2010; 7(1): 75-78. ISSN: 1683-3198.
3. Sree Pk, Babu IR et al. Improving Quality of Clustering using Cellular Automata for Information retrieval. International Journal of Computer Science 2008; 4(2): 167-171. ISSN 1549-3636. (Science Publications-USA)
4. Sree Pk, Babu IR et al. A Novel Protein Coding Region Identifying Tool using Cellular Automata Classifier with Trust-Region Method and Parallel Scan Algorithm (NPCRITCACA). International Journal of Biotechnology & Biochemistry (IJBB) December 2008; 4(2) 177-189.
5. Sree Pk, Babu IR et al. Non Linear Cellular Automata in identification of protein coding regions. Journal of Proteomics & Bioinformatics (USA) 5(6): 123. ISSN: 0974-276X.
6. Sree Pk, Babu IR et al. Face Detection from still and Video Images using Unsupervised Cellular Automata with K means clustering algorithm. ICGST International Journal on Graphics, Vision and Image Processing (GVIP) 2008; 8(2): 1-7. ISSN: 1687-398X.
7. Sree Pk, Babu IR et al. Cellular Automata with Biological Sequence Analysis Approach to Robotic Soccer. International Journal of Computer Science and Applications 2009; 2(2): 127-134. ISSN: 0974-1003.
Published
2018-06-23
