scRNA dataset: TuPro_AML_scRNA_counts_all_samples_SCE.RDS R Dataset (SingleCellExperiment) generated with R 4.1.3 and SingleCellExperiment version 1.14.1. The dataset contains the following slots: * assays: counts: raw counts * colData: Cell-level metadata barcodes: The cell arcode fractionMT: Fraction mitochondrail genes per cell n_umi: Total number of UMIs per cell n_gene: Total number of genes per cell log_umi: log10 total number of UMIs per cell g2m_score: Cell cycle phase score for G2M s_score: Cell cycle phase score for S cycle_phase: predicted cell cycle phase celltype_major_full_ct_name: Major cell typ efull name celltype_major: Major cell type hort name celltype_final_full_ct_name: Cell subtype full name celltype_final: Cell subtype short name sample_id * rowData: Gene-level metadata gene_ids gene_names CyTOF dataset: TuPro_AML_CyTOF_singlecell_data_SCE R Dataset (SingleCellExperiment) generated with R 4.1.3 and SingleCellExperiment version 1.14.1. * Assays: counts: exprs: scaled: Scaled normalized intensity. This is what was used to generate all Figures in the publication. counts_raw: exprs_raw: * colData: Cell-level metadata file_name, bc_id, sample, group, run: CyTOF run metadata type: Sample type (blood or bone marrow) sample_id: TuPro sample ID pred_id: Predicted cell type [char] pred_n: Predicted cell type [integer] * rowData: Marker-level metadata channel_name: Name of the metal ion correspondng to this marker. marker_name: Protein name marker_class: Type of marker (state v.s. other) use_channel: Logical - use this channel for analysis? Used to exclude barcoding and live/dead channels. channel_group, channel_group_integer: Biological processes the channel identifies, e.g. specific cell type, signalling, cell death tsne_channel: channel_order: channel_group_order: common_channel: T_channel: M_channel: cluster_channel: Logical - use this channel for clustering? bead_channel: Logical - is this channel used to measure beads? is_bc: Logical - is this a barcode channel?