Optimized Ensemble Predictor for 'C' and 'A' Methylation in Organism
Overview
DNA methylation is an important epigenetic process that regulates gene activity through chemical modifications of DNA without changing its sequence. 'OpEnCAMeO' is a organism based ensemble model for prediction of 4mC, 6mA and No methylation sites directly from DNA sequences. It combines multiple machine learning algorithms trained on Bacteria (Escherichia coli), Fungi (Saccharomyces cerevisiae) and Nematode (Caenorhabditis elegans) as reference models to deliver accurate predictions. This methodology is being inspired by the ensemble algorithm for methylation prediction developed by Sinha et al. (2025) doi:10.1101/2025.11.10.687509.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK12 OK2026-08-05
- NOTE9 OK, 1 NOTE2026-08-01
- OK7 OK2026-07-31
Documentation
- Help pages
- 3
- Examples that run
- 0%3 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 100%
Downloads
Dependencies
Installing OpEnCAMeO adds 23 packages (15 with compiled code, 30 MB of source tarballs). Heaviest: stringi 11 MB, sp 4.3 MB, seqinr 3.4 MB. 1 more not on CRAN is not measured.
Code & Tests
People & History
- 0.1.1Latest2026-07-30 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-07-30
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Download size
- 7.5 KB
Cite
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