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DESCRIPTION
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31 lines (31 loc) · 846 Bytes
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Package: scPred
Type: Package
Title: scPred - accurate supervised method for cell-type classification from single-cell RNA-seq data
Version: 1.9.2
Author: c(person("Jose", "Alquicira-Hernandez", email = "j.alquicira@garvan.au", rol = "aut, cre", comment = c(ORCID = "0000-0002-9049-7780")))
Maintainer: Jose Alquicira-Hernandez <j.alquicira@garvan.org.au>
Description: Provides a series of functions to train a prediction model based on gene expression data to classify single cells.
License: MIT
URL: https://github.com/powellgenomicslab/scPred
Encoding: UTF-8
LazyData: true
Imports:
harmony,
SeuratObject,
methods,
stats,
ggbeeswarm,
MLmetrics,
caret,
kernlab,
pROC,
ggplot2,
knitr,
pbapply,
cli,
crayon
Suggests:
magrittr, mda
Remotes:
immunogenomics/harmony
RoxygenNote: 7.1.1