Package: PredCRG 1.0.2

PredCRG: Computational Prediction of Proteins Encoded by Circadian Genes

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.

Authors:Prabina Kumar Meher <[email protected]>

PredCRG_1.0.2.tar.gz
PredCRG_1.0.2.zip(r-4.5)PredCRG_1.0.2.zip(r-4.4)PredCRG_1.0.2.zip(r-4.3)
PredCRG_1.0.2.tgz(r-4.5-any)PredCRG_1.0.2.tgz(r-4.4-any)PredCRG_1.0.2.tgz(r-4.3-any)
PredCRG_1.0.2.tar.gz(r-4.5-noble)PredCRG_1.0.2.tar.gz(r-4.4-noble)
PredCRG_1.0.2.tgz(r-4.4-emscripten)PredCRG_1.0.2.tgz(r-4.3-emscripten)
PredCRG.pdf |PredCRG.html
PredCRG/json (API)

# Install 'PredCRG' in R:
install.packages('PredCRG', repos = c('https://prabinameher.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • PredCRG_data - Training dataset of the PredCRG model.
  • model1 - Trained model with the Q1 dataset.
  • model2 - Trained model with the Q2 dataset.
  • model3 - Trained model with the Q3 dataset.
  • model4 - Trained model with the Q4 dataset.
  • test - Test dataset.

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 143 downloads 1 mentions 3 exports 26 dependencies

Last updated 4 years agofrom:359bbf52e8. Checks:6 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 31 2025
R-4.5-winNOTEMar 31 2025
R-4.5-macNOTEMar 31 2025
R-4.5-linuxNOTEMar 31 2025
R-4.4-winOKMar 31 2025
R-4.4-macOKMar 31 2025
R-4.4-linuxOKMar 31 2025
R-4.3-winOKMar 31 2025
R-4.3-macOKMar 31 2025

Exports:PredCRGPredCRG_EncPredCRG_training

Dependencies:askpassBiocGenericsBiostringsclasscrayoncurle1071genericsGenomeInfoDbGenomeInfoDbDatahttrIRangesjsonlitekernlabMASSmimeopensslPeptidesprotrproxyR6RcppS4VectorssysUCSC.utilsXVector