Package: scClassify 1.17.0

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

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scClassify.pdf |scClassify.html
scClassify/json (API)
NEWS

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

Peer review:

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

Datasets:

On BioConductor:scClassify-1.17.0(bioc 3.20)scClassify-1.16.0(bioc 3.19)

bioconductor-package

16 exports 1.45 score 147 dependencies 3 mentions

Last updated 2 months agofrom:97c7d77ef6

Exports:cellTypeTraincellTypeTreefeaturesgetNlearningCurvemodelmodelweightsnameplotCellTypeTreepredict_scClassifypredict_scClassifyJointrunHOPACHrunSampleCalscClassifyscClassifyTrainModelListtrain_scClassify

Dependencies:abindannotateAnnotationDbiaskpassbase64encBHBiobaseBiocGenericsBiocParallelBiostringsbitbit64blobbslibcachemCepocliclustercodetoolscolorspacecpp11crayoncrosstalkcurldata.tableDBIDelayedArrayDelayedMatrixStatsdigestdiptestdplyrevaluatefansifarverfastmapfontawesomeformatRfsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggforceggplot2ggraphggrepelgluegraphgraphlayoutsgridExtraGSEABasegtableHDF5ArrayhighrhopachhtmltoolshtmlwidgetshttrigraphIRangesisobandjquerylibjsonliteKEGGRESTkernlabknitrlabelinglambda.rlaterlatticelazyevallifecyclelimmamagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimeminpack.lmmixtoolsmunsellnlmeopensslpatchworkpillarpkgconfigplogrplotlyplyrpngpolyclippromisesproxyproxyCpurrrR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenreshape2rhdf5rhdf5filtersRhdf5librlangrmarkdownRSQLiteS4ArraysS4VectorssassscalessegmentedSingleCellExperimentsnowSparseArraysparseMatrixStatsstatmodstringistringrSummarizedExperimentsurvivalsyssystemfontstibbletidygraphtidyrtidyselecttinytextweenrUCSC.utilsutf8vctrsviridisviridisLitewithrxfunXMLxtableXVectoryamlzlibbioc

Performing scClassify using pretrained model

Rendered frompretrainedModel.Rmdusingknitr::rmarkdownon Jul 02 2024.

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

scClassify Model Building and Prediction

Rendered fromscClassify.Rmdusingknitr::rmarkdownon Jul 02 2024.

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

Readme and manuals

Help Manual

Help pageTopics
The scClassifyTrainModel class.scClassifyTrainModel
Accessors of cellTypeTrain for scClassifyTrainModelcellTypeTrain cellTypeTrain,scClassifyTrainModel-method
Accessors of cellTypeTree for scClassifyTrainModelcellTypeTree cellTypeTree,scClassifyTrainModel-method
Accessors of features for scClassifyTrainModelfeatures features,scClassifyTrainModel-method
Function to get the required N given by the accuracy and the learning curve modelgetN
Fit learning curve for accuracy matrixlearningCurve
Accessors of model for scClassifyTrainModelmodel model,scClassifyTrainModel-method
Accessors of modelweights for scClassifyTrainModelmodelweights modelweights,scClassifyTrainModel-method
Accessors of name for scClassifyTrainModelname name,scClassifyTrainModel-method
To plot cell type treeplotCellTypeTree
Testing scClassify modelpredict_scClassify
Testing scClassify model (joint training)predict_scClassifyJoint
Create HOPACH treerunHOPACH
Run sample size calculation for pilot data for reference datasetrunSampleCal
Train and test scClassify modelscClassify
Example data used in scClassify packagescClassify_example
An S4 class to stored training model for scClassifyscClassifyTrainModel-class
The scClassifyTrainModelList classscClassifyTrainModelList
An S4 class to stored a list of training models from scClassifyscClassifyTrainModelList-class
Training scClassify modeltrain_scClassify
Subset of pretrained model of Wang et al.trainClassExample_wang
Subset of pretrained model of Xin et al.trainClassExample_xin