SCIM

Universal Single-Cell Matching with Unpaired Feature Sets. Code for Universal Single-Cell Matching with Unpaired Feature Sets. Integrates datasets from multiple single cell 'omics technologies in two steps. CyTOF data: The sample was profiled with CyTOF using a 41-markers panel designed for an in-depth characterization of the immune compartment of a sample. Data preprocessing was performed following the workflow described in (Chevrier et al., 2017, 2018). Cell-type assignment was performed using a Random Forest classifier trained on multiple manually gated samples. In the SCIM manuscript, we utilize a subset comprising B-Cells and T-Cells only, for a total of 135,334 cells.