PlotUMAP: Generate UMAP for the final prediction based on cell patterns

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

Generate UMAP for the final prediction based on cell patterns

Description

Generate UMAP for the final prediction based on cell patterns

Usage

PlotUMAP(predictMatrix, prediction_result, n_component = 30, seed = 123, ...)

Arguments

predictMatrix	a wide cell by pattern matrix generated from GenerateInput function
prediction_result	Prediction result from PredictCellType
n_component	Number of PCA components to use (Default: 30)
seed	A number for random seed (Default: 123)
...	Additional arguments passed to 'uwot::umap' (e.g., 'n_neighbors', 'metric').

Value

A list of two ggplot2 UMAP object.

MethScope documentation built on Feb. 27, 2026, 1:08 a.m.