plot_pc_variance_explained

<p>Plots the percentage of variance explained by the each component based on
PCA from the normalized expression data determined using preprocess_cds.</p>

Monocle 3 performs clustering, differential expression and
trajectory analysis for single-cell expression experiments. It orders
individual cells according to progress through a biological process,
without knowing ahead of time which genes define progress through that
process. Monocle 3 also performs differential expression analysis,
clustering, visualization, and other useful tasks on single-cell expression
data.  It is designed to work with RNA-Seq data, but could be used with
other types as well.

Cole Trapnell

monocle3

Clustering, differential expression, and trajectory analysis for single-
cell RNA-Seq

plot_pc_variance_explained function

Plots the percentage of variance explained by the each component based on
PCA from the normalized expression data determined using preprocess_cds. — plot_pc_variance_explained

plot_pc_variance_explained: Plots the percentage of variance explained by the each component based on PCA from the normalized expression data determined using preprocess_cds.

Description

Usage

Arguments

Value

Examples