Package: SignacX 2.2.0
SignacX: Cell Type Identification and Discovery from Single Cell Gene Expression Data
An implementation of neural networks trained with flow-sorted gene expression data to classify cellular phenotypes in single cell RNA-sequencing data. See Chamberlain M et al. (2021) <doi:10.1101/2021.02.01.429207> for more details.
Authors:
SignacX_2.2.0.tar.gz
SignacX_2.2.0.zip(r-4.7)SignacX_2.2.0.zip(r-4.6)SignacX_2.2.0.zip(r-4.5)
SignacX_2.2.0.tgz(r-4.6-any)SignacX_2.2.0.tgz(r-4.5-any)
SignacX_2.2.0.tar.gz(r-4.7-any)SignacX_2.2.0.tar.gz(r-4.6-any)
SignacX_2.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SignacX/json (API)
NEWS
| # Install 'SignacX' in R: |
| install.packages('SignacX', repos = c('https://mathewchamberlain.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mathewchamberlain/signacx/issues
- Genes_Of_Interest - Genes of interest for drug discovery / disease biology research
cellular-phenotypesseuratsingle-cell-rna-seq
Last updated from:11e872c292. Checks:7 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | WARNING | 198 | ||
| source / vignettes | OK | 259 | ||
| linux-release-x86_64 | WARNING | 184 | ||
| macos-release-arm64 | WARNING | 167 | ||
| macos-oldrel-arm64 | WARNING | 186 | ||
| windows-devel | WARNING | 128 | ||
| windows-release | WARNING | 113 | ||
| windows-oldrel | WARNING | 110 | ||
| wasm-release | OK | 165 |
Exports:CID.entropyCID.GetDistMatCID.IsUniqueCID.LoadDataCID.LoadEdgesCID.LouvainCID.NormalizeCID.smoothCID.writeJSONGenerateLabelsget_colorsGetModels_HPCAGetTrainingData_HPCAKSoftImputeMASCModelGeneratorSaveCountsToH5SignacSignacBootSignacFast
Dependencies:abindaskpassbase64encBHbitopsbootbslibcachemcaToolscliclustercodetoolscommonmarkcowplotcpp11crosstalkcurldata.tabledeldirDerivdigestdotCall64dplyrdqrngevaluatefarverfastDummiesfastmapfitdistrplusFNNfontawesomefsfuturefuture.applygenericsggplot2ggrepelggridgesglobalsgluegoftestgplotsgridExtragtablegtoolsherehighrhtmltoolshtmlwidgetshttpuvhttricaigraphirlbaisobandjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevallifecyclelistenvlme4lmtestmagrittrMASSMatrixmatrixStatsmemoisemimeminiUIminqaneuralnetnlmenloptropensslotelparallellypatchworkpbapplypbmcapplypillarpkgconfigplotlyplyrpngpolyclipprogressrpromisespurrrR6RANNrappdirsrbibutilsRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppHNSWRcppProgressRcppTOMLRdpackreformulasreshape2reticulateRJSONIOrlangrmarkdownROCRrprojrootRSpectraRtsneS7sassscalesscattermoresctransformSeuratSeuratObjectshinysitmosourcetoolsspspamspatstat.dataspatstat.explorespatstat.geomspatstat.randomspatstat.sparsespatstat.univarspatstat.utilsstringistringrsurvivalsystensortibbletidyrtidyselecttinytexutf8uwotvctrsviridisLitewithrxfunxtableyamlzoo
Cell type classification with SignacX: CITE-seq PBMCs from 10X Genomics
Rendered fromsignac-Seurat_CITE-seq.Rmdusingknitr::rmarkdown_notangleon May 26 2026.Last update: 2021-03-01
Started: 2021-02-25
SignacX, Seurat and MASC: Analysis of kidney cells from AMP
Rendered fromsignac-Seurat_AMP.Rmdusingknitr::rmarkdown_notangleon May 26 2026.Last update: 2021-03-01
Started: 2021-02-04
Cell type classification with SignacX: 1k PBMCs from 10X Genomics
Rendered fromsignac-Seurat_pbmcs.Rmdusingknitr::rmarkdown_notangleon May 26 2026.Last update: 2021-03-01
Started: 2021-02-25
Benchmarking SignacFast with single cell flow-sorted data
Rendered fromSignacFast-Seurat_AMP_RA.Rmdusingknitr::rmarkdown_notangleon May 26 2026.Last update: 2021-03-01
Started: 2021-02-18
Benchmarking SignacX and SingleR with synovial flow cytometry data
Rendered fromsignac-Seurat_AMP_RA.Rmdusingknitr::rmarkdown_notangleon May 26 2026.Last update: 2021-03-01
Started: 2021-02-11
Learning CD56 NK cells from CITE-seq PBMCs
Rendered fromsignac-SPRING_Learning.Rmdusingknitr::rmarkdown_notangleon May 26 2026.Last update: 2021-03-01
Started: 2021-02-11
Mapping homologous gene symbols
Rendered fromCrabeating_vignette.Rmdusingknitr::rmarkdown_notangleon May 26 2026.Last update: 2021-03-01
Started: 2021-02-10
