run_tsne: Dimensionality Reduction Analysis: t-Distributed Stochastic...

In HuaZou/MyRtools: Statistic Approaches on Data Analysis

Description

Visualization of High Dimensional Data using t-SNE with R.

Usage

run_tsne(dataset=ExpressionSet, Perplexity=20, Group_info="Group")

Arguments

Perplexity,	Numeric; (Required) numeric; Perplexity parameter (should not be bigger than 3 * perplexity < nrow(X) - 1, see details for interpretation).
Group_info,	Character; the group for plot(default: "Group").
Expression,	ExpressionSet; (Required) ExpressionSet object.

Details

12/2/2021 Guangzhou China

Value

a list object: t-SNE score Result of PERMANOVA

Author(s)

Hua Zou

Examples

data(ExprSetRawRB)

tsne_res <- run_tsne(dataset=ExprSetRawRB, Perplexity=20, Group_info="Group")
tsne_res$tsne

HuaZou/MyRtools documentation built on Jan. 6, 2022, 8:56 a.m.