Receptor Abundance Estimation using Feature Selection and Gene Set Scoring

Performs receptor abundance estimation for single cell RNA-sequencing data using a supervised feature selection mechanism and a thresholded gene set scoring procedure. Seurat's normalization method is described in: Hao et al., (2021) , Stuart et al., (2019) , Butler et al., (2018) and Satija et al., (2015) . Method for reduced rank reconstruction and rank-k selection is detailed in: Javaid et al., (2022) . Gene set scoring procedure is described in: Frost et al., (2020) . Clustering method is outlined in: Song et al., (2020) and Wang et al., (2011) .