Package: PredCRG
Type: Package
Title: Computational Prediction of Proteins Encoded by Circadian Genes
Version: 1.0.2
Date: 2020-12-11
Author: Prabina Kumar Meher <meherprabin@yahoo.com>
Maintainer: Prabina Kumar Meher <meherprabin@yahoo.com>
Depends: R(>= 3.3.3)
Imports: Biostrings, protr,Peptides, kernlab, e1071
LazyData: TRUE
Description: A computational model for predicting proteins encoded by circadian genes. The support vector machine has been employed with Laplace kernel for prediction of circadian proteins, where compositional, transitional and physico-chemical features were utilized as numeric features. User can predict for the test dataset using the proposed computational model. Besides, the user can also build their own training model using their training dataset, followed by prediction for the test set. 
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2020-12-11 15:29:46 UTC; USER
Repository: CRAN
Date/Publication: 2020-12-11 16:20:03 UTC
Built: R 4.2.0; ; 2022-04-26 19:19:45 UTC; unix
