Package: scReClassify 1.11.0

Taiyun Kim

scReClassify: scReClassify: post hoc cell type classification of single-cell RNA-seq data

A post hoc cell type classification tool to fine-tune cell type annotations generated by any cell type classification procedure with semi-supervised learning algorithm AdaSampling technique. The current version of scReClassify supports Support Vector Machine and Random Forest as a base classifier.

Authors:Pengyi Yang [aut], Taiyun Kim [aut, cre]

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scReClassify.pdf |scReClassify.html✨
scReClassify/json (API)
NEWS

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

Peer review:

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

Datasets:

On BioConductor:scReClassify-1.11.0(bioc 3.20)scReClassify-1.10.0(bioc 3.19)

bioconductor-package

3 exports 0.61 score 34 dependencies 2 mentions

Last updated 2 months agofrom:5fa98cfa12

Exports:bAccuracymatPCsmultiAdaSampling

Dependencies:abindaskpassBiobaseBiocGenericsclasscrayoncurlDelayedArraye1071GenomeInfoDbGenomeInfoDbDataGenomicRangeshttrIRangesjsonlitelatticeMASSMatrixMatrixGenericsmatrixStatsmimeopensslproxyR6randomForestS4ArraysS4VectorsSingleCellExperimentSparseArraySummarizedExperimentsysUCSC.utilsXVectorzlibbioc

An introduction to scReClassify package

Taiyun Kim

Rendered fromscReClassify.Rmdusingknitr::rmarkdownon Jun 18 2024.

Last update: 2021-09-27
Started: 2021-08-26