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  "Title": "Receptor Abundance Estimation using Reduced Rank Reconstruction\nand Clustered Thresholding",
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  "Authors@R": "c(\nperson(\"H. Robert\", \"Frost\", email = \"hildreth.r.frost@dartmouth.edu\", role = c(\"aut\")),\nperson(\"Azka\", \"Javaid\", email = \"azka.javaid.gr@dartmouth.edu\", role = c(\"aut\", \"cre\")))",
  "Maintainer": "Azka Javaid <azka.javaid.gr@dartmouth.edu>",
  "Description": "Surface Protein abundance Estimation using CKmeans-based\nclustered thresholding ('SPECK') is an unsupervised\nlearning-based method that performs receptor abundance\nestimation for single cell RNA-sequencing data based on reduced\nrank reconstruction (RRR) and a clustered thresholding\nmechanism. Seurat's normalization method is described in: Hao\net al., (2021) <doi:10.1016/j.cell.2021.04.048>, Stuart et al.,\n(2019) <doi:10.1016/j.cell.2019.05.031>, Butler et al., (2018)\n<doi:10.1038/nbt.4096> and Satija et al., (2015)\n<doi:10.1038/nbt.3192>. Method for the RRR is further detailed\nin: Erichson et al., (2019) <doi:10.18637/jss.v089.i11> and\nHalko et al., (2009) <doi:10.48550/arXiv.0909.4061>. Clustering\nmethod is outlined in: Song et al., (2020)\n<doi:10.1093/bioinformatics/btaa613> and Wang et al., (2011)\n<doi:10.32614/RJ-2011-015>.",
  "License": "GPL (>= 2)",
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  "Author": "H. Robert Frost [aut], Azka Javaid [aut, cre]",
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  "Date/Publication": "2025-10-05 16:30:02 UTC",
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      "author": "Azka Javaid and H. Robert Frost",
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