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)
- Version0.1.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release07/11/2023
Team
Dipro Sinha
Sunil Archak
Show author detailsRolesAuthorDwijesh Chandra Mishra
Show author detailsRolesAuthorTanwy Dasmandal
Show author detailsRolesAuthorMd Yeasin
Show author detailsRolesAuthor
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports19 packages
- Suggests1 package