pca_analysis: PCA dimensional reduction analysis for RNA-Seq.

In TOmicsVis: Transcriptome Visualization Process Scheme

PCA dimensional reduction analysis for RNA-Seq.

Description

PCA dimensional reduction analysis for RNA-Seq.

Usage

pca_analysis(sample_gene, group_sample)

Arguments

sample_gene	Dataframe: All genes in all samples expression dataframe of RNA-Seq (1st-col: Genes, 2nd-col~: Samples).
group_sample	Dataframe: Samples and groups for gene expression (1st-col: Samples, 2nd-col: Groups).

Value

Table: PCA dimensional reduction analysis for RNA-Seq.

Author(s)

benben-miao

Examples

# 1. Library package TOmicsVis
library(TOmicsVis)

# 2. Load example datasets
data(gene_expression)
head(gene_expression)

data(samples_groups)
head(samples_groups)

# 3. Default parameters
res <- pca_analysis(gene_expression, samples_groups)
head(res)

TOmicsVis documentation built on Aug. 29, 2023, 1:06 a.m.