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R-package EpiSemble: Ensemble Based Machine Learning Approach for Predicting Methylation States

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Title R-package EpiSemble: Ensemble Based Machine Learning Approach for Predicting Methylation States
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Creator Dipro Sinha,
Sunil Archak,
Dwijesh Chandra Mishra,
Tanwy Dasmandal,
Md Yeasin
 
Subject R-package
 
Description Not Available
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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Date 2023-03-02T09:18:37Z
2023-03-02T09:18:37Z
2022-10-01
 
Type Software Code or Macro
 
Identifier Not Available
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http://krishi.icar.gov.in/jspui/handle/123456789/76542
 
Language English
 
Relation Not Available;
 
Publisher Not Available