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An information theoretic approach for improving data driven prediction of protein model quality
- Source :
-
Computers & Mathematics with Applications . Mar2008, Vol. 55 Issue 5, p997-1006. 10p. - Publication Year :
- 2008
-
Abstract
- Abstract: We present the results of an information theory-based approach to select an optimal subset of features for the prediction of protein model quality. The optimal subset of features was calculated by means of a backward selection procedure. The performances of a probabilistic classifier modeled by means of a Kernel Probability Density Estimation method (KPDE) were compared with those of a feed-forward Artificial Neural Network (ANN) and a Support Vector Machine (SVM). [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 08981221
- Volume :
- 55
- Issue :
- 5
- Database :
- Academic Search Index
- Journal :
- Computers & Mathematics with Applications
- Publication Type :
- Academic Journal
- Accession number :
- 28801694
- Full Text :
- https://doi.org/10.1016/j.camwa.2006.12.096