bioc-issue-bot
commented
3 months ago Hi @lodimk2
Thanks for submitting your package. We are taking a quick look at it and you will hear back from us soon.
The DESCRIPTION file for this package is:
Package: chai
Title: CHAI: consensus Clustering tHrough similArIty matrIx integratIon for single cell type identification
Version: 0.99.0
Authors@R:
c(person("Musaddiq", "Lodi", email = "lodimk2@vcu.edu", role = c("aut", "cre")), person("Kezie", "Osei", email = "oseika@vcu.edu", role = c("aut")), person("Vaishnavi", "Ranganathan", email = "vrangana@andrew.cmu.edu", role = c("aut")))
Description: We present CHAI (consensus Clustering tHrough similArIty matrix integratIon for single cell type identification), a wisdom of crowds approach for scRNAseq clustering. CHAI presents two methods which aggregate the clustering results from seven state of the art clustering methods: CHAI-AvgSim and CHAI-SNF. Both methods demonstrate improved performance on a diverse selection of benchmarking datasets, including outperforming a previous consensus clustering method.
License: MIT
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1.9000
Imports:
Seurat,
SeuratObject,
SingleCellExperiment,
Spectrum,
SNFtool,
aricode,
cluster,
kernlab,
mclust,
CHOIR,
RaceID,
SC3,
scSHC,
Biobase,
FNN
Suggests:
knitr,
rmarkdown,
testthat (>= 3.0.0)
biocViews: GeneExpression, SingleCell, Clustering
Config/testthat/edition: 3
VignetteBuilder: knitr
Depends:
R (>= 2.10)
LazyData: false
lshep
lodimk2
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