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EpiSemble (version 0.1.1)

Ensemble Based Machine Learning Approach for Predicting Methylation States

Description

DNA methylation (6mA) is a major epigenetic process by which alteration in gene expression took place without changing the DNA sequence. Predicting these sites in-vitro is laborious, time consuming as well as costly. This 'EpiSemble' package is an in-silico pipeline for predicting DNA sequences containing the 6mA sites. It uses an ensemble-based machine learning approach by combining Support Vector Machine (SVM), Random Forest (RF) and Gradient Boosting approach to predict the sequences with 6mA sites in it. This package has been developed by using the concept of Chen et al. (2019) .

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Version

Install

install.packages('EpiSemble')

Monthly Downloads

179

Version

0.1.1

License

GPL-3

Maintainer

Dipro Sinha

Last Published

June 4th, 2023

Functions in EpiSemble (0.1.1)

ImpFeatures

Important Features
epiPred

Epigenetic Modification Prediction