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PredCRG  

Computational Prediction of Proteins Encoded by Circadian Genes
View on CRAN: Click here


Download and install PredCRG package within the R console
Install from CRAN:
install.packages("PredCRG")

Install from Github:
library("remotes")
install_github("cran/PredCRG")

Install by package version:
library("remotes")
install_version("PredCRG", "1.0.2")



Attach the package and use:
library("PredCRG")
Maintained by
Prabina Kumar Meher
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-28
Latest Update:
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.
How to cite:
Prabina Kumar Meher (2020). PredCRG: Computational Prediction of Proteins Encoded by Circadian Genes. R package version 1.0.2, https://cran.r-project.org/web/packages/PredCRG. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.0.1 (2020-06-28 11:20), 1.0.2 (2020-12-11 17:20)
Other packages that cited PredCRG R package
View PredCRG citation profile
Other R packages that PredCRG depends, imports, suggests or enhances
Complete documentation for PredCRG
Functions, R codes and Examples using the PredCRG R package
Some associated functions: PredCRG . PredCRG_Enc . PredCRG_data . PredCRG_training . model1 . model2 . model3 . model4 . test . 
Some associated R codes: PredCRG.R . PredCRG_Enc.R . PredCRG_training.R .  Full PredCRG package functions and examples
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