GB5mcPred
Gradient Boosting Algorithm for Predicting Methylation States
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.
- Version0.1.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release07/11/2023
Team
Dipro Sinha
Md Yeasin
Show author detailsRolesAuthorDwijesh Chandra Mishra
Show author detailsRolesAuthorSunil Archak
Show author detailsRolesAuthorTanwy Dasmandal
Show author detailsRolesAuthor
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- Imports16 packages
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