CRAN/E | PredCRG

PredCRG

Computational Prediction of Proteins Encoded by Circadian Genes

Installation

About

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.

Key Metrics

Version 1.0.2
R ≥ 3.3.3
Published 2020-12-11 1236 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks PredCRG results

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Maintainer

Maintainer

Prabina Kumar Meher

meherprabin@yahoo.com

Authors

Prabina Kumar Meher

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

PredCRG archive

Depends

R ≥ 3.3.3

Imports

Biostrings
protr
Peptides
kernlab
e1071