The repository administrator has not yet configured an RDF license.
Prediction of nuclear proteins using SVM and HMM models.
This study describes a highly accurate method for predicting nuclear proteins. SVM module has been developed for the first time using SAAC for predicting nuclear proteins, where amino acid composition of N-terminus and the remaining protein were computed separately. In addition, our study is a first documentation where exclusively nuclear and non-nuclear domains have been identified and used for predicting nuclear proteins. The performance of the method improved further by combining both approaches together.
Prediction of nuclear proteins using SVM and HMM models. (PDF)
Prediction of nuclear proteins using SVM and HMM models. (Image (PNG))
Prediction of nuclear proteins using SVM and HMM models. (Indexer Terms)
HTML Summary of #570 Prediction of nuclear proteins using SVM and HMM models.
QH301 Biology