R: Intelligent Predicting Response to Cancer Immunotherapy Through Systematic Modeling

# Intelligent Predicting Response to Cancer Immunotherapy Through Systematic Modeling

## Documentation for package ‘iPRISM’ version 0.1.1

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

iPRISM-package | Intelligent Predicting Response to Cancer Immunotherapy Through Systematic Modeling
cor_plot | Correlation Plot with Significance Points
data.cell | data.cell
data.path | data.path
data_sig | data_sig
ESscore | Enrichment Score Calculation
ESscore_weighted | Weighted Enrichment Score Calculation
genelist_cp | TME gene list after random walks
genelist_hla | HLA gene list after random walks
genelist_imm | ICI gene list after random walks
get_gsea_path | Gene Set Enrichment Analysis (GSEA) using Multiplex Networks
get_logiModel | Fit Logistic Regression Model
gseafun | Gene Set Enrichment Analysis (GSEA) Function
iPRISM | Intelligent Predicting Response to Cancer Immunotherapy Through Systematic Modeling
path_list | path_list
ppi | A protein-protein physical interaction network (PPI network)
pred_value | Original Class Labels for Samples
Seeds | Seed Node Names