Intelligent Predicting Response to Cancer Immunotherapy Through
Systematic Modeling
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Documentation for package ‘iPRISM’ version 0.1.1
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 |