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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...
The paper presents program for automatic cell recognition and counting in selected immunohistochemical stains in the gastritis diseases. It is applied to cytoplasm reactivity markers, such as chromogranin A, serotonin and somatostatin antibodies. The program uses the sequential thresholding algorithm in combination with artificial neural network of support vector machine (SVM) type, to recognize the...
Soft computing is gradually opening up several possibilities in bioinformatics, especially by generating low-cost, low-precision (approximate), good solutions. In this paper, we survey the role of different soft computing paradigms, like fuzzy sets (FSs), artificial neural networks (ANNs), evolutionary computation, rough sets (RSes), and support vector machines (SVMs), in this direction. The major...
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