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Description

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

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.

MethScope

MethScope identifies Most Recurrent Methylation Patterns (MRMPs) as the basis to encode latent representations for interpretatble analysis of DNA mehtylation data, in particular single cell and spatial methylome. The MRMPs embeddings will support automatic cell annotation, bulk deconvolution, unsupervisded clustering, and cancer cell of origin prediction.

Installation

Install the released version of usethis from CRAN:

install.packages("MethScope")

or install from github

devtools::install_github("zhou-lab/MethScope")

Usage

MethScope performs rapid cell annotation, deconvolution and other tasks for single cell and spatial DNA methylome. Please check out our documentation for more details:

Explore the MethScope Website

Citation

If you use MethScope, kindly cite (coming soon):

Hongxiang Fu, Chin Nien Lee, Cameron Cloud, Hao Xu, Yanxiang Deng, Wanding Zhou, MethScope: Ultra-fast Analysis of Sparse DNA Methylome via Recurrent Pattern Encoding.

Metadata

Version

1.0.1

License

Unknown

Platforms (78)

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