EIF4F_PCA: Perform PCA and generate plots

In a3609640/eIF4F.analysis: A R package to analyze eIF4F subunits in human cancers

Perform PCA and generate plots

Description

A wrapper function to call all composite functions for PCA

Usage

EIF4F_PCA()

Details

This function run three composite functions together:

• .plot_PCA_TCGA_GTEX()

• .plot_PCA_TCGA_GTEX_tumor()

• .plot_PCA_CPTAC_LUAD()

Side effects:

(1) PCA biplots (PCA score plot + loading plot) on screen and as pdf files: PCA score plot shows the clusters of samples based on their similarity and loading plot shows how strongly each characteristic influences a principal component.

(2) matrix plots on screen and as pdf files to show the quality of representation of the variables.

(3) scree plots on screen and as pdf files to display how much variation each principal component captures from the data.

See Also

Other wrapper function to call all composite functions with inputs: EIF4F_CNV_analysis(), EIF4F_Corrgene_analysis(), EIF4F_DEG_analysis(), EIF4F_Proteomics_analysis(), EIF4F_RNA_pro_correlation(), EIF4F_Survival_analysis()

Examples

## Not run: 
EIF4F_PCA()

## End(Not run)

a3609640/eIF4F.analysis documentation built on Jan. 2, 2023, 11:19 p.m.