SPECK
Receptor Abundance Estimation using Reduced Rank Reconstruction and Clustered Thresholding
Surface Protein abundance Estimation using CKmeans-based clustered thresholding ('SPECK') is an unsupervised learning-based method that performs receptor abundance estimation for single cell RNA-sequencing data based on reduced rank reconstruction (RRR) and a clustered thresholding mechanism. 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 the RRR is further detailed in: Erichson et al., (2019) <doi:10.18637/jss.v089.i11> and Halko et al., (2009) <doi:10.48550/arXiv.0909.4061>. 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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.1 |
rolling linux/jammy R-4.5 | SPECK_1.0.1.tar.gz |
3.8 MiB |
1.0.1 |
rolling linux/noble R-4.5 | SPECK_1.0.1.tar.gz |
3.8 MiB |
1.0.1 |
rolling source/ R- | SPECK_1.0.1.tar.gz |
2.3 MiB |
1.0.1 |
latest linux/jammy R-4.5 | SPECK_1.0.1.tar.gz |
3.8 MiB |
1.0.1 |
latest linux/noble R-4.5 | SPECK_1.0.1.tar.gz |
3.8 MiB |
1.0.1 |
latest source/ R- | SPECK_1.0.1.tar.gz |
2.3 MiB |
1.0.1 |
2026-04-26 source/ R- | SPECK_1.0.1.tar.gz |
2.3 MiB |
1.0.1 |
2026-04-23 source/ R- | SPECK_1.0.1.tar.gz |
2.3 MiB |
1.0.1 |
2026-04-09 windows/windows R-4.5 | SPECK_1.0.1.zip |
3.9 MiB |
1.0.0 |
2025-04-20 source/ R- | SPECK_1.0.0.tar.gz |
2.5 MiB |