CRAN/E | GB5mcPred

GB5mcPred

Gradient Boosting Algorithm for Predicting Methylation States

Installation

About

DNA methylation of 5-methylcytosine (5mC) is the result of a multi-step, enzyme-dependent process. Predicting these sites in-vitro is laborious, time consuming as well as costly. This ' Gb5mC-Pred ' package is an in-silico pipeline for predicting DNA sequences containing the 5mC sites. It uses a machine learning approach which uses Stochastic Gradient Boosting approach for prediction of the sequences with 5mC sites. This package has been developed by using the concept of Navarez and Roxas (2022) doi:10.1109/TCBB.2021.3082184.

Key Metrics

Version 0.1.0
Published 2023-07-11 299 days ago
Needs compilation? no
License GPL-3
CRAN checks GB5mcPred results

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Maintainer

Maintainer

Dipro Sinha

diprosinha@gmail.com

Authors

Dipro Sinha

aut / cre

Sunil Archak

aut

Dwijesh Chandra Mishra

aut

Tanwy Dasmandal

aut

Md Yeasin

aut

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Imports

stats
devtools
tidyverse
seqinr
Biostrings
splitstackshape
entropy
party
stringr
tibble
doParallel
parallel
e1071
caret
randomForest
gbm
foreach
ftrCOOL
iterators

Suggests

testthat ≥ 3.0.0