Least-Squares Support Vector Machine Approach to Viral Replication Origin Prediction.

ABSTRACT: Replication of their DNA genomes is a central step in the reproduction of many viruses. Procedures to find replication origins, which are initiation sites of the DNA replication process, are therefore of great importance for controlling the growth and spread of such viruses. Existing computational methods for viral replication origin prediction have mostly been tested within the family of herpesviruses. This paper proposes a new approach by least-squares support vector machines (LS-SVMs) and tests its performance not only on the herpes family but also on a collection of caudoviruses coming from three viral families under the order of caudovirales. The LS-SVM approach provides sensitivities and positive predictive values superior or comparable to those given by the previous methods. When su

SUBMITTER: Cruz-Cano R 

PROVIDER: S-EPMC2923853 | biostudies-literature | 2010 Jun

REPOSITORIES: biostudies-literature