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 |
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Subject |
R-package
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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) Not Available |
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Date |
2023-03-02T09:18:37Z
2023-03-02T09:18:37Z 2022-10-01 |
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Type |
Software Code or Macro
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Identifier |
Not Available
Not Available http://krishi.icar.gov.in/jspui/handle/123456789/76542 |
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Language |
English
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Relation |
Not Available;
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Publisher |
Not Available
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