Ultra-Fast Analysis of Sparse DNA Methylome via Recurrent Pattern Encoding
Overview
Methods for analyzing DNA methylation data via Most Recurrent Methylation Patterns (MRMPs). Supports cell-type annotation, spatial deconvolution, unsupervised clustering, and cancer cell-of-origin inference. Includes C-backed summaries for YAME ".cg/.cm" files (overlap counts, log2 odds ratios, beta/depth aggregation), an XGBoost classifier, NNLS deconvolution, and plotting utilities. Scales to large spatial and single-cell methylomes and is robust to extreme sparsity.
- Fixed
Input_training(cross_validation = TRUE)with currentxgboostreleases by replacing thecaret::train(method = "xgbTree")tuning path with nativexgboost::xgb.cv()while preserving theMethScopeModelreturn structure used byPredictCellType().
From NEWS.md in the release
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
Show 6 earlier changesHide 6 earlier changes
- ERROR12 OK, 1 ERROR2026-06-08
- OK13 OK2026-05-02
- ERROR11 OK, 1 ERROR2026-04-25
- NOTE11 OK, 3 NOTE2026-04-10
- ERROR10 OK, 3 NOTE, 1 ERROR2026-04-09
- NOTE11 OK, 3 NOTE2026-03-10
Documentation
- Help pages
- 16
- Examples that run
- 0%1 never run
- Exported functions with examples
- 6%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
- methscope-cli HTML
- MethScope-Input HTML
- MethScope-MRMP HTML
- MethScope-Tutorial HTML
- Pretrained models & bundles HTML
- Using the MethScope agent skill HTML
Downloads
Dependencies
Code & Tests
Datasets
People & History
Package metadata
- First published
- 2025-12-09
- Total releases
- 5 / 1 yrs
- License
- AGPL-3 OSI · relicensed from MIT + file LICENSE in 1.0.4
- Minimum R
- ≥ 4.0
- Download size
- 9.4 MB
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