Sciacovelli et al., 2016, Nature analysis files:
file | description |
---|---|
de_proteomics.r | Differential protein abundance script, using limma bioconductor package |
gsea_enrichment.py | GSEA analysis of EMT + MSigDB signature in mouse and human samples |
preprocess_proteomics.py | Workflow followed to process the mass-spectrometry proteomics of mouse and human samples |
tcga_rnaseq_correlations.py | Correlation analysis of the TCGA KIRC tumour samples |
volcanos.py | Script used to generate the volcano plots |
kirp_*.r | Worflow for differential expression analysis of KIRP RNA-seq TCGA samples |
preprocess_rnaseq.py | Preprocessing steps to parse the raw counts from the RNA-seq samples |
rnaseq_limma.r | Workflow for differential expression analysis of human and mouse RNA-seq samples |