A comparative study on filtering protein secondary structure prediction
Promponas, Vasilis J.
Christodoulou, Chris C.
SourceIEEE/ACM Transactions on Computational Biology and Bioinformatics
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Filtering of Protein Secondary Structure Prediction (PSSP) aims to provide physicochemically realistic results, while it usually improves the predictive performance. We performed a comparative study on this challenging problem, utilizing both machine learning techniques and empirical rules and we found that combinations of the two lead to the highest improvement. © 2006 IEEE.
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