.plot_boxgraph_protein_CPTAC | R Documentation |
A composite function analyzes differential expression of eIF4F protein and phosphorylation in CPTAC LUAD data and plots results as boxplots
.plot_boxgraph_protein_CPTAC(protein_list)
protein_list |
protein names in a vector of string |
This function
merges the LUAD proteomics values from EIF4F genes
in the data frame prepared from .get_CPTAC_LUAD_Proteomics_subset()
and
phosphoproteomics data of the same protein in the data frame prepared
from .get_CPTAC_LUAD_Phosproteomics_subset()
.
uses the combined data to compare the abundance across different
tumor stages, and plot the results with the function .protein_boxplot()
This function is not accessible to the user and will not show at the users'
workspace. It can only be called by the exported EIF4F_Proteomics_analysis()
function.
Side effects:
(1) boxplot to show the different expression of (phospho)protein across different clinical tumor stages
Other composite function to call protein coexpression and differential
expression analysis:
.plot_scatterplot_protein_CPTAC()
## Not run: .plot_boxgraph_protein_CPTAC(c( "EIF4G1", "EIF4A1", "EIF4E", "EIF4EBP1", "AKT1", "MTOR", "EIF4B", "EIF4H", "MKNK1", "MKNK2" )) ## End(Not run)
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