Package: scBio 0.1.6

scBio: Single Cell Genomics for Enhancing Cell Composition Inference from Bulk Genomics Data

Cellular population mapping (CPM) a deconvolution algorithm in which single-cell genomics is required in only one or a few samples, where in other samples of the same tissue, only bulk genomics is measured and the underlying fine resolution cellular heterogeneity is inferred.

Authors:Amit Frishberg [aut, cre], Naama Peshes-Yaloz [aut], Irit Gat-Viks [aut]

scBio_0.1.6.tar.gz
scBio_0.1.6.zip(r-4.7-any)scBio_0.1.6.zip(r-4.6-any)scBio_0.1.6.zip(r-4.5-any)
scBio_0.1.6.tgz(r-4.6-any)scBio_0.1.6.tgz(r-4.5-any)
scBio_0.1.6.tar.gz(r-4.7-any)scBio_0.1.6.tar.gz(r-4.6-any)
scBio_0.1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
scBio/json (API)

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

Bug tracker:https://github.com/amitfrish/scbio/issues

Datasets:
  • BulkFlu - Gene expression profiles of flu and pbs sample.
  • SCCellSpace - Single-cell cell space.
  • SCFlu - Gene expression profiles of lung cells after influenza infection.
  • SCLabels - Single-cell classification into cell types.

On CRAN:

Conda:

limma

4.06 score 21 stars 11 scripts 336 downloads 1 exports 19 dependencies

Last updated from:0b89273888. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK121
source / vignettesOK150
linux-releaseOK125
macos-releaseOK165
macos-oldrelOK220
windows-develOK68
windows-releaseOK67
windows-oldrelOK63
wasm-releaseOK115

Exports:CPM

Dependencies:codetoolsdoSNOWdotCall64fieldsforeachiteratorslatticeLiblineaRlimmamapsrasterRColorBrewerRcppsnowspspamstatmodterraviridisLite