Package: scClassify 1.24.0

Yingxin Lin

scClassify: scClassify: single-cell Hierarchical Classification

scClassify is a multiscale classification framework for single-cell RNA-seq data based on ensemble learning and cell type hierarchies, enabling sample size estimation required for accurate cell type classification and joint classification of cells using multiple references.

Authors:Yingxin Lin

scClassify_1.24.0.tar.gz
scClassify_1.24.0.zip(r-4.7)scClassify_1.24.0.zip(r-4.6)scClassify_1.24.0.zip(r-4.5)
scClassify_1.24.0.tgz(r-4.6-any)scClassify_1.24.0.tgz(r-4.5-any)
scClassify_1.24.0.tar.gz(r-4.7-any)scClassify_1.24.0.tar.gz(r-4.6-any)
scClassify_1.24.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
scClassify/json (API)
NEWS

# Install 'scClassify' in R:

install.packages('scClassify', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sydneybiox/scclassify/issues

Datasets:

scClassify_example - Example data used in scClassify package
trainClassExample_wang - Subset of pretrained model of Wang et al.
trainClassExample_xin - Subset of pretrained model of Xin et al.

On BioConductor:scClassify-1.25.0(bioc 3.24)scClassify-1.24.0(bioc 3.23)

singlecell geneexpression classification

7.09 score 29 stars 35 scripts 388 downloads 3 mentions 16 exports 145 dependencies

Last updated from:8f9d87ac3a (on RELEASE_3_23). Checks:1 ERROR, 9 OK. Indexed: no.

Target	Result	Time
bioc-checks	ERROR	224
linux-devel-x86_64	OK	466
source / vignettes	OK	315
linux-release-x86_64	OK	451
macos-release-arm64	OK	283
macos-oldrel-arm64	OK	289
windows-devel	OK	425
windows-release	OK	392
windows-oldrel	OK	406
wasm-release	OK	162

Exports:cellTypeTrain cellTypeTree features getN learningCurve model modelweights name plotCellTypeTree predict_scClassify predict_scClassifyJoint runHOPACH runSampleCal scClassify scClassifyTrainModelList train_scClassify

Dependencies:abind annotate AnnotationDbi askpass base64enc BH Biobase BiocGenerics biocmake BiocParallel Biostrings bit bit64 blob bslib cachem Cepo cli cluster codetools cpp11 crayon crosstalk curl data.table DBI DelayedArray DelayedMatrixStats digest diptest dir.expiry dplyr evaluate farver fastmap filelock fontawesome formatR fs futile.logger futile.options generics GenomicRanges ggforce ggplot2 ggraph ggrepel glue graph graphlayouts gridExtra GSEABase gtable h5mread HDF5Array highr hopach htmltools htmlwidgets httr igraph IRanges isoband jquerylib jsonlite KEGGREST kernlab knitr labeling lambda.r later lattice lazyeval lifecycle limma magrittr MASS Matrix MatrixGenerics matrixStats memoise mgcv mime minpack.lm mixtools nlme openssl otel patchwork pillar pkgconfig plotly plyr png polyclip promises proxy proxyC purrr R6 rappdirs RColorBrewer Rcpp RcppArmadillo reshape2 rhdf5 rhdf5filters Rhdf5lib rlang rmarkdown RSQLite S4Arrays S4Vectors S7 sass scales segmented Seqinfo SingleCellExperiment snow SparseArray sparseMatrixStats statmod stringi stringr SummarizedExperiment survival sys systemfonts tibble tidygraph tidyr tidyselect tinytex tweenr utf8 vctrs viridis viridisLite withr xfun XML xtable XVector yaml

Performing scClassify using pretrained model

Yingxin Lin

Rendered frompretrainedModel.Rmdusingknitr::rmarkdownon Jun 02 2026.

Last update: 2020-04-20
Started: 2019-09-20

scClassify Model Building and Prediction

Yingxin Lin

Rendered fromscClassify.Rmdusingknitr::rmarkdownon Jun 02 2026.

Last update: 2020-04-20
Started: 2019-09-20

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
The scClassifyTrainModel class	.scClassifyTrainModel
Accessors of cellTypeTrain for scClassifyTrainModel	cellTypeTrain cellTypeTrain,scClassifyTrainModel-method
Accessors of cellTypeTree for scClassifyTrainModel	cellTypeTree cellTypeTree,scClassifyTrainModel-method
Accessors of features for scClassifyTrainModel	features features,scClassifyTrainModel-method
Function to get the required N given by the accuracy and the learning curve model	getN
Fit learning curve for accuracy matrix	learningCurve
Accessors of model for scClassifyTrainModel	model model,scClassifyTrainModel-method
Accessors of modelweights for scClassifyTrainModel	modelweights modelweights,scClassifyTrainModel-method
Accessors of name for scClassifyTrainModel	name name,scClassifyTrainModel-method
To plot cell type tree	plotCellTypeTree
Testing scClassify model	predict_scClassify
Testing scClassify model (joint training)	predict_scClassifyJoint
Create HOPACH tree	runHOPACH
Run sample size calculation for pilot data for reference dataset	runSampleCal
Train and test scClassify model	scClassify
Example data used in scClassify package	scClassify_example
An S4 class to stored training model for scClassify	scClassifyTrainModel-class
The scClassifyTrainModelList class	scClassifyTrainModelList
An S4 class to stored a list of training models from scClassify	scClassifyTrainModelList-class
Training scClassify model	train_scClassify
Subset of pretrained model of Wang et al.	trainClassExample_wang
Subset of pretrained model of Xin et al.	trainClassExample_xin

Package: scClassify 1.24.0

scClassify: scClassify: single-cell Hierarchical Classification

Performing scClassify using pretrained model

scClassify Model Building and Prediction

Citation

Development and contributors

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)