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MethScope

1.0.4Package record

Ultra-Fast Analysis of Sparse DNA Methylome via Recurrent Pattern Encoding

0packages depend
2.8Kdownloads / year
3.0%test coverage
13/13flavors OK

Overview

About
Maintained by Hongxiang FuCRAN page ↗Declared funder: Wanding Zhou

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.

Changes in 1.0.4
  • Fixed Input_training(cross_validation = TRUE) with current xgboost releases by replacing the caret::train(method = "xgbTree") tuning path with native xgboost::xgb.cv() while preserving the MethScopeModel return structure used by PredictCellType().

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.2 min · r-devel-windows-x86_64
Status changes
  • 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
Advisories

none known

Documentation

In release 1.0.4
READMEYes · 732 wordsVignettesYes · 6 · dynamicNEWSYes · 67% structured · mentions 1.0.4Citation fileNoWebsitenot declared in DESCRIPTION
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%

Downloads

2.8K
CRAN downloads in the past year
Rank #11,228 · ~8/day · ~236/mo
Daily download trend is not available in this view yet.
33330 days
93390 days
2.8K1 year
Compare downloads with other packages →
Also on415 r2u6 autocran

Dependencies

Declared dependencies
16 external dependencies (excludes base and recommended)

Installing MethScope adds 77 packages (45 with compiled code, 68 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.

Depends (1)
R >= 4.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 1.0.0 (2025)
Contributor, Copyright holder
BGZF components; see inst/COPYRIGHTS
Contributor, Copyright holder
Author and copyright holder of khash.h (klib, MIT license)
Copyright holder, Funder
Releases (5)

Pick two releases to compare their code metrics.

  • 1.0.4Latest
    record
    2026-08-26 · current release · diff ↗
  • 1.0.3
    record
    2026-06-16 · diff ↗
  • 1.0.2
    record
    2026-06-13 · diff ↗ ·
    added 2 exports
    Liu2021_MouseBrain_P1000, Zhou2025_HumanAtlas_P1000
  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.1
    record
    2026-02-26 · diff ↗
  • 1.0.0
    record
    2025-12-09
  • R
    R 4.5.0 released · 2025-04-11

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

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MethScope")
Fu, H., The SAMtools/HTSlib authors, Chaos, A., & Zhou, W. (2026). MethScope: Ultra-Fast Analysis of Sparse DNA Methylome via Recurrent Pattern Encoding (Version 1.0.4) [Computer software]. https://doi.org/10.32614/CRAN.package.MethScope

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MethScope version 1.0.4 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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