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Cellular Automata based computing paradigm is an efficient platform for modeling complicated computational problems. This can be used for various applications in the field of Cryptography. In this paper, it is used for generating a DNA cryptography based encryption algorithm. The encoded message in binary format is encrypted to cipher colors with the help of a simple algorithm based on the principles...
Research and implementation of big data analytics is a booming area with huge latent to give valuable insights in the areas of healthcare and lifescience. While there are many challenges with implementation of big data analytics in its implementation. The major challenges of big data analytics are 3Vs (Volume, Velocity, and Variety), makes it difficult to implement it for clinical applications. However,...
DNA microarray datasets have extensive number of genes however just a little number of qualities are required to distinguish a specific kind of disease. There are some issues in microarray data, the curse of dimensionality and the number of irrelevant features present which can be overcome by features extraction and dimensionality reduction technique. So gene selection assumes a vital part in expelling...
Soft computing technologies are the most efficient technology in the field of Bioinformatics now a days. So many researchers are very keen interested in this topic to find out many unknown facts applying soft computing techniques in the field of DNA RNA alignment, Protein Structure Prediction, Gene mapping etc. Artificial neural network is one of the good techniques for the protein structure prediction...
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