PreMSIm: An R package for predicting microsatellite instability from the expression profiling of a gene panel in cancer

Keywords: Cancer, Microsatellite instability, Gene expression profiling, Machine learning, Algorithm, Classification, AUC, area under the curve, CV, cross validation, GEO, Gene Expression Omnibus, GO, gene ontology, MSI, microsatellite instability, MSS, microsatellite stability, PPI, protein-protein interaction, RF, random forest, ROC, receiver operating characteristic, SVM, support vector machine, TCGA, The Cancer Genome Atlas, XGBoost, extreme gradient boosting, ACC, adrenocortical carcinoma, BLCA, bladder urothelial carcinoma, BRCA, breast invasive carcinoma, CESC, cervical squamous cell carcinoma and endocervical adenocarcinoma, CHOL, cholangiocarcinoma, COAD, colon adenocarcinoma, DLBC,