Code and Extended Data for the manuscript "Cell-type classification of the tumor single-cell gene expression data using the Subsemble supervised ensemble machine learning classifier".
├── Datasets.zip // Two scRNA-seq datasets and cell type labels used for cross-validation of cell type classification performance. │ └── li_crc_counts.tsv │ └── li_crc_labels.txt │ └── vangalen_aml_counts.csv │ └── vangalen_aml_labels.csv ├── Figure_Data.zip // Classification performance metrics used to generate Figures 2, 3, and 4. │ └── Figure 2 │ └── Figure 3 │ └── Figure 4AB │ └── Figure 4C ├── Subsemble.ipynb // Jupyter notebook with example Subsemble classifier for user input. ├── skf_metrics_cc.py // Python script for classification performance benchmarking using N-fold CV or LOOCV.
Chen, D., Shooshtari, P. (2022). Cell-type classification of single-cell transcriptomics using the Subsemble supervised ensemble machine learning classifier. In preparation.
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