STREAK: A supervised cell surface receptor abundance estimation strategy for single cell RNA-sequencing data using feature selection and thresholded gene set scoring
Fig 2
Percentage of receptors for which a given technique (STREAK, SPECK, normalized RNA transcript, Random Forest or Support Vector Machines) generates estimates with the highest average rank correlation with the associated CITE-seq data over five subsets of training data consisting of 12,000 cells from the Hao dataset, 10,000 cells from the Unterman data, 1,682 cells from the MALT data, 3,940 cells from the Mouse Spleen data, 7,422 cells from the Monocytes data and 994 cells from the MPEM dataset.