Receptor Abundance Estimation using Feature Selection and Gene Set Scoring R package STREAK version 1.0.0 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) <doi:10.1016/j.cell.2021.04.048>, Stuart et al., (2019) <doi:10.1016/j.cell.2019.05.031>, Butler et al., (2018) <doi:10.1038/nbt.4096> and Satija et al., (2015) <doi:10.1038/nbt.3192>. Method for reduced rank reconstruction and rank-k selection is detailed in: Javaid et al., (2022) <doi:10.1101/2022.10.08.511197>. Gene set scoring procedure is described in: Frost et al., (2020) <doi:10.1093/nar/gkaa582>. Clustering method is outlined in: Song et al., (2020) <doi:10.1093/bioinformatics/btaa613> and Wang et al., (2011) <doi:10.32614/RJ-2011-015>. Software Depends: R (>= 2.10) Imports: Ckmeans.1d.dp, Matrix, Seurat, SPECK, stats, VAM Suggests: knitr, rmarkdown Azka Javaid <azka.javaid.gr@dartmouth.edu> Comprehensive R Archive Network (CRAN) H. Robert Frost [aut], Azka Javaid [aut, cre] GPL (>= 2) 2023-11-17 application/tgz https://CRAN.R-project.org/package=STREAK doi:10.32614/CRAN.package.STREAK