Fast maximum-likelihood phylogeny inference from noisy single-cell data using the 'ScisTree' algorithm by Yufeng Wu (2019) <doi:10.1093/bioinformatics/btz676>. 'scistreer' provides an 'R' interface and improves speed via 'Rcpp' and 'RcppParallel', making the method applicable to massive single-cell datasets (>10,000 cells).
| Version: |
1.2.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
ape, dplyr, ggplot2, ggtree, igraph, parallelDist, patchwork, phangorn, Rcpp, reshape2, RcppParallel, RhpcBLASctl, stringr, tidygraph |
| LinkingTo: |
Rcpp, RcppArmadillo, RcppParallel |
| Suggests: |
testthat (≥ 3.0.0) |
| Published: |
2023-06-15 |
| DOI: |
10.32614/CRAN.package.scistreer |
| Author: |
Teng Gao [cre, aut],
Evan Biederstedt [aut],
Peter Kharchenko [aut],
Yufeng Wu [aut] |
| Maintainer: |
Teng Gao <tgaoteng at gmail.com> |
| License: |
GPL-3 |
| URL: |
https://github.com/kharchenkolab/scistreer,
https://kharchenkolab.github.io/scistreer/ |
| NeedsCompilation: |
yes |
| SystemRequirements: |
GNU make |
| Materials: |
README |
| CRAN checks: |
scistreer results |