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)scBio_0.1.6.zip(r-4.6)scBio_0.1.6.zip(r-4.5)
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

4.20 score 21 stars 15 scripts 300 downloads 1 exports 19 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK140
source / vignettesOK205
linux-release-x86_64OK128
macos-release-arm64OK131
macos-oldrel-arm64OK218
windows-develOK75
windows-releaseOK71
windows-oldrelOK72
wasm-releaseOK116

Exports:CPM

Dependencies:codetoolsdoSNOWdotCall64fieldsforeachiteratorslatticeLiblineaRlimmamapsrasterRColorBrewerRcppsnowspspamstatmodterraviridisLite