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- W3108434579 abstract "In Bioinformatics field Protein Structure Classification is the hugest undertaking. The realized proteins have been requested subject to their level, feature, work, amino destructive and family and superfamily. Protein structure segregated into four sorts: all ? protein structure, all ? protein structure, ?+? protein structure, and ?/? protein structure. The use of a standard way to deal with perform plan is a very inconvenient and dreary task. The quantity of cutting edge Machine Intelligence enrolling strategies such Support Vector Machine, Random Forest, Artificial Neural Network, Decision Tree and Naïve Bayes Classifier had been proposed in the composition. Our objective right currently is to develop a system that performs better than anything past markers for protein structure gathering by thinking about the separation among the distinctive Amino Acid buildups. To take a gander at the display of proposed work particular datasets are used." @default.
- W3108434579 created "2020-12-07" @default.
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- W3108434579 date "2020-07-25" @default.
- W3108434579 modified "2023-09-25" @default.
- W3108434579 title "Protein Structure Classification Based on Distance Feature" @default.
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- W3108434579 doi "https://doi.org/10.32628/cseit206464" @default.
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