Single-Cell Lung Cancer Dataset

The last dataset is a lung cancer dataset, which collected a total of 27 sample single-cell data from 10.5 million cells (31 features measured per cell). The condition of progression-free survival (PFS) was defined as a predicted label. The age, sex, systemic immunosuppressive treatment for adverse events, and drug-related adverse events were defined as covariates. Here is the file structure that fits in CytoCo-set input format (symbol "X(____)X" defined as file name describe): data folder fcs_info.csv filenames_X(trials_number)X.json lung_fcs all X(sample_file_name)X.fcs test_labels_X(trials_number)X.csv train_labels_X(trials_number)X.csv marker.csv tripletlists_X(covariate)X_X(trials_number)X X(covariate)X_tripletlist_subpick_test_rffX(medianpooling_or_maxpooling)X_sameX(same_threhold_percange)X_diffX(diff_threhold_percange)X.txt X(covariate)X_tripletlist_subpick_trainval_rffX(medianpooling_or_maxpooling)X_sameX(same_threhold_percange)X_diffX(diff_threhold_percange)X.txt The dataset uploaded all the sample's raw features data (fcs file) and some file examples. fcs_info.csv records all sample's true labels and covariates.