imputeRowMean

Impute missing value for 100K window matrix

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.

Hongxiang Fu

MethScope

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

Wanding Zhou

The SAMtools/HTSlib authors 

Attractive Chaos

imputeRowMean function

<dl><dt>mtx</dt>
<dd>A cell by 100K window data frame with missing values</dd>
<dt>na_percent</dt>
<dd>A na percent threshold to be filterd (Default: 30)</dd></dl>

Arguments

Impute missing value for 100K window matrix — imputeRowMean

<dl>

<dt>mtx</dt>
<dd>A cell by 100K window data frame with missing values</dd>


<dt>na_percent</dt>
<dd>A na percent threshold to be filterd (Default: 30)</dd>

</dl>

imputeRowMean: Impute missing value for 100K window matrix

Description

Usage

Value

Arguments