Sensitive detection of rare disease-associated cell subsets via representation learning

Pre-processed datasets that are analysed in CellCnn examples:

• PBMC, AML, ALL datasets
• NK cell dataset

These datasets were originally published in the following studies:

1. Bodenmiller, B. et al. Multiplexed mass cytometry profiling of cellular states perturbed by small-molecule regulators. Nat. Biotechnol. (2012).
2. Amir, E.-A. D.et al. viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia. Nat. Biotechnol. (2013).
3. Levine, J. H.et al. Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis. Cell (2015).
4. Horowitz, A. et al. Genetic and environmental determinants of human NK cell diversity revealed by mass cytometry. Sci. Transl. Med. 5 (2013).