Package: scAnnotate 0.3

scAnnotate: An Automated Cell Type Annotation Tool for Single-Cell RNA-Sequencing Data

An entirely data-driven cell type annotation tools, which requires training data to learn the classifier, but not biological knowledge to make subjective decisions. It consists of three steps: preprocessing training and test data, model fitting on training data, and cell classification on test data. See Xiangling Ji,Danielle Tsao, Kailun Bai, Min Tsao, Li Xing, Xuekui Zhang.(2022)<doi:10.1101/2022.02.19.481159> for more details.

Authors:Xiangling Ji [aut], Danielle Tsao [aut], Kailun Bai [ctb], Min Tsao [aut], Li Xing [aut], Xuekui Zhang [aut, cre]

scAnnotate_0.3.tar.gz
scAnnotate_0.3.zip(r-4.7)scAnnotate_0.3.zip(r-4.6)scAnnotate_0.3.zip(r-4.5)
scAnnotate_0.3.tgz(r-4.6-any)scAnnotate_0.3.tgz(r-4.5-any)
scAnnotate_0.3.tar.gz(r-4.6-any)
scAnnotate_0.3.tgz(r-4.5-emscripten)
manual.pdf |manual.html
card.svg |card.png
scAnnotate/json (API)
NEWS

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 4 scripts 253 downloads 2 exports 148 dependencies

Last updated from:df9145d8a8. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK258
source / vignettesOK320
linux-release-x86_64OK306
macos-release-arm64OK190
macos-oldrel-arm64OK131
windows-develOK192
windows-releaseOK185
windows-oldrelOK191
wasm-releaseOK250

Exports:eva_calscAnnotate

Dependencies:abindaskpassbase64encBHbitopsbslibcachemcaToolscliclustercodetoolscommonmarkcowplotcpp11crosstalkcurldata.tabledeldirdigestdotCall64dplyrdqrngevaluatefarverfastDummiesfastmapfitdistrplusFNNfontawesomeforeachfsfuturefuture.applygenericsggplot2ggrepelggridgesglmnetglobalsgluegoftestgplotsgridExtragtablegtoolsharmonyherehighrhtmltoolshtmlwidgetshttpuvhttricaigraphirlbaisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevallifecyclelistenvlmtestmagrittrMASSMatrixmatrixStatsmemoisemimeminiUInlmeopensslotelparallellypatchworkpbapplypillarpkgconfigplotlyplyrpngpolyclipprogressrpromisespurrrR6RANNrappdirsRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppHNSWRcppProgressRcppTOMLreshape2reticulateRhpcBLASctlrlangrmarkdownROCRrprojrootRSpectraRtsneS7sassscalesscattermoresctransformSeuratSeuratObjectshapeshinysitmosourcetoolsspspamspatstat.dataspatstat.explorespatstat.geomspatstat.randomspatstat.sparsespatstat.univarspatstat.utilsstringistringrsurvivalsystensortibbletidyrtidyselecttinytexutf8uwotvctrsviridisLitewithrxfunxtableyamlzoo

Introduction

Rendered fromIntroduction.Rmdusingknitr::rmarkdownon Apr 21 2026.

Last update: 2024-03-14
Started: 2022-07-01

Readme and manuals

Help Manual

Help pageTopics
eva_caleva_cal
pbmc1pbmc1
pbmc2pbmc2
predict_labelpredict_label
scAnnotatescAnnotate