Multiple_correlation_test

Program useful to run multiple correlation tests between a main data, in this case, RNAseq data for HeLa cell line, and various variables present in a data frame, in this case human tissues from GTEx data, all acquired from Atlas Expression.

Set working directory:
Keep every .txt files in the same folder as the programms ('Auxiliar_funcions.R' and 'Projeto_HeLa_vs_Tecidos.R') then set the folder as the 'working directory' in the RStudio 'New Project' option.

R language version used: 4.1.3

Libraries used:

• org.Hs.eg.db
• devtools
• easyGgplot2 or ggplot2

Packages needed - install in console:
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("org.Hs.eg.db")

install.packages("devtools")
library(devtools)
install_github("kassambara/easyGgplot2")

📝 NOTE: You might need RTools (version dependent of R language version) to install packages from sources like github

The following code installs a package that includes the library ggplot2 (without github):
install.packages("tidyverse")

Raw data acquisition and description:

Data base	Description	Document to source
Apid	Physical interactions protein-protein, human interactome i	9606_noISI_Q2.txt
Omnipath	Gene regulation and signaling network	omnipathdb.txt
Dorothea	Transcription factors and targets annotations	dorothea_AB.txt
Atlas Expression	Protein expression - proteomics and transcriptomics	E-MTAB-5214-query-results.tsv HeLa_TPM_results.tsv

ⁱ Data verified with 2 or more experimental evidences

Author

Pedro Fanica

Faculdade de Ciências da Universidade de Lisboa - Bioquímica Experimental IV, Licenciatura em Bioquímica