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-4.5)scBio_0.1.6.zip(r-4.4)scBio_0.1.6.zip(r-4.3)
scBio_0.1.6.tgz(r-4.4-any)scBio_0.1.6.tgz(r-4.3-any)
scBio_0.1.6.tar.gz(r-4.5-noble)scBio_0.1.6.tar.gz(r-4.4-noble)
scBio_0.1.6.tgz(r-4.4-emscripten)scBio_0.1.6.tgz(r-4.3-emscripten)
scBio.pdf |scBio.html
scBio/json (API)

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

Peer review:

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:

limma

1 exports 21 stars 2.06 score 18 dependencies 9 scripts 181 downloads

Last updated 4 years agofrom:0b89273888. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 10 2024
R-4.5-winOKSep 10 2024
R-4.5-linuxOKSep 10 2024
R-4.4-winOKSep 10 2024
R-4.4-macOKSep 10 2024
R-4.3-winOKSep 10 2024
R-4.3-macOKSep 10 2024

Exports:CPM

Dependencies:codetoolsdoSNOWdotCall64fieldsforeachiteratorslatticeLiblineaRlimmamapsrasterRcppsnowspspamstatmodterraviridisLite