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STREAK: A supervised cell surface receptor abundance estimation strategy for single cell RNA-sequencing data using feature selection and thresholded gene set scoring

Fig 3

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. Results are computed on the subset of receptors supported by the cTP-net methods.

Fig 3

doi: https://doi.org/10.1371/journal.pcbi.1011413.g003