# WGCNA-shinyApp **Repository Path**: shawnmagic/WGCNA-shinyApp ## Basic Information - **Project Name**: WGCNA-shinyApp - **Description**: shiny app for WGCNA... - **Primary Language**: R - **License**: Not specified - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2022-08-08 - **Last Updated**: 2022-08-11 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README README

WGCNA-shinyApp

R version TBtools version lifecycle license Myblog

A shiny app for WGCNA…

Getting started

R version: >4.1.1

OS: MacOS > 10.10, Win 7-11, linux must have a graphic interface

# clone this repo to your machine
git clone git@github.com:ShawnWx2019/WGCNA-shinyApp.git WGCNAshiny

cd WGCNAshiny

## Method 1.

Rscript WGCNAbyClick.v1.R

## Method 2. open WGCNAbyClick.v1.R by Rstudio or other IDE you perfer and run this script.

Input data prepare

datExpr

Data source:

  • transcriptomics

    • readcount.

    • normalized readcount (FPKM, RPKM, TPM, CPM)

    • microarray data

  • metabolomics

    • peak area.

  • proteomics,

    -protein abundance.

  • …

Format:

  • Gene/metabolite/protein ID in row and sample ID in column.

  • The sample ID should not contain spaces, special symbols, and should not start with numbers.

  • DO NOT use pure numbers as gene/metabolite/protein ID.

  • Only accepted tab-delimited file, such as .txt or .tsv.