%0 Journal Article
%@ 1471-2105
%A Kumar, Manish
%A Raghava, G.P.S.
%D 2009
%F open:570
%I BIomedcentral
%J BMC bioinformatics
%P 22
%T Prediction of nuclear proteins using SVM and HMM models.
%U http://crdd.osdd.net/open/570/
%V 10
%X 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.
%Z Open Access