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 Protein Secondary Structure Prediction. A Feed-forward Neural Network approach
Наименование:

Protein Secondary Structure Prediction. A Feed-forward Neural Network approach

автор Md. M. I.K. издательство Книга по Требованию Локальные и корпоративные сети
Cтраниц 80        мягкая обложка       
Аннотация:Protein secondary structure prediction is a very hot topic in bioinformatics. We hope that our work will be a future directive in this arena. The result shows the improvement over previous works done in this regard. Then we have modeled a new architecture in feed forward network and used those classified proteins as input. Genetic Algorithm mostly deals with protein tertiary structure and sequence alignment, for Hidden Markov Model the accuracy is not good and Neural Network is the most successful for predicting protein secondary structure. Our achieved accuracy of helix prediction is 71% and sheet prediction is 65%. The methods like Genetic Algorithm, Hidden Markov Model and different kinds of Neural Networks are there. There are several methods for predicting protein secondary structure. At first we have classified the 20 protein according to their structure, size and hydrophobic manner. So, we used the method named “Feed Forward Neural Network” and implemented it with JOONE (Java Object Oriented Neural Engine) editor. Predicting protein secondary structure means to find out the portions that contain Helix and Sheet in protein sequence.
Автор: Md. M. I.K.
Издательство: Книга по Требованию
Год:2010
Цена:
2007 руб
Нет в наличии
Поиск: Protein Secondary Structure Prediction. A Feed-forward Neural Network approach
НОВЫЙ ГОД СИМВОЛ 2013 ГОДАУКРАШЕНИЯ
КАРНАВАЛ НА НОВЫЙ ГОД РАСПРОДАЖА
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