A comparative study on filtering protein secondary structure prediction
Ημερομηνία
2012Συγγραφέας
Kountouris, P.Agathocleous, Michalis
Promponas, Vasilis J.
Christodoulou, Georgia
Hadjicostas, S.
Vassiliades, Vassilis
Christodoulou, Chris C.
ISSN
1545-5963Source
IEEE/ACM Transactions on Computational Biology and BioinformaticsVolume
9Issue
3Pages
731-739Google Scholar check
Keyword(s):
Metadata
Εμφάνιση πλήρους εγγραφήςΕπιτομή
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.