Prediction of protein secondary structure using binary classificationtrees, naive Bayes classifiers and the Logistic Regression Classifier
The secondary structure of proteins is predicted using various binary classifiers. The data are adopted from the RS126 database. The original data consists of protein primary and secondary structure sequences. The original data is encoded using alphabetic letters. These data are encoded into unary v...
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| Format: | Others |
| Language: | English |
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Rhodes University
2016
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| Online Access: | http://hdl.handle.net/10962/d1019985 |