Package: cellpypes 0.2.1

Felix Frauhammer

cellpypes: Cell Type Pipes for Single-Cell RNA Sequencing Data

Annotate single-cell RNA sequencing data manually based on marker gene thresholds. Find cell type rules (gene+threshold) through exploration, use the popular piping operator '%>%' to reconstruct complex cell type hierarchies. 'cellpypes' models technical noise to find positive and negative cells for a given expression threshold and returns cell type labels or pseudobulks. Cite this package as Frauhammer (2022) <doi:10.5281/zenodo.6555728> and visit <https://github.com/FelixTheStudent/cellpypes> for tutorials and newest features.

Authors:Felix Frauhammer [aut, cre]

cellpypes_0.2.1.tar.gz
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cellpypes_0.2.1.tgz(r-4.4-any)cellpypes_0.2.1.tgz(r-4.3-any)
cellpypes_0.2.1.tar.gz(r-4.5-noble)cellpypes_0.2.1.tar.gz(r-4.4-noble)
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cellpypes.pdf |cellpypes.html
cellpypes/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/felixthestudent/cellpypes/issues

Datasets:

On CRAN:

celltype-annotationclassification-algorithmscrnaseqsingle-cell-rna-seq

4.41 score 51 stars 7 scripts 220 downloads 12 exports 37 dependencies

Last updated 10 months agofrom:1b8c15d910. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-winOKNov 22 2024
R-4.5-linuxOKNov 22 2024
R-4.4-winOKNov 22 2024
R-4.4-macOKNov 22 2024
R-4.3-winOKNov 22 2024
R-4.3-macOKNov 22 2024

Exports:class_to_deseq2classifyfeatfind_knnplot_classesplot_lastpool_across_neighborspseudobulkpseudobulk_idpype_code_templatepype_from_seuratrule

Dependencies:assertthatclicolorspacecowplotdplyrfansifarvergenericsggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalesscattermorescUtilstibbletidyselectutf8vctrsviridisviridisLitewithr