Package: scquantum 1.0.0

scquantum: Estimate Ploidy and Absolute Copy Number from Single Cell Sequencing

Given bincount data from single-cell copy number profiling (segmented or unsegmented), estimates ploidy, and uses the ploidy estimate to scale the data to absolute copy numbers. Uses the modular quantogram proposed by Kendall (1986) <doi:10.1002/0471667196.ess2129.pub2>, modified by weighting segments according to confidence, and quantifying confidence in the estimate using a theoretical quantogram. Includes optional fused-lasso segmentation with the algorithm in Johnson (2013) <doi:10.1080/10618600.2012.681238>, using the implementation from glmgen by Arnold, Sadhanala, and Tibshirani.

Authors:Alexander Davis [aut, cre], Taylor Arnold [cph], Veeranjaneyulu Sadhanala [cph], Ryan Tibshirani [cph]

scquantum_1.0.0.tar.gz
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scquantum_1.0.0.tgz(r-4.6-x86_64)scquantum_1.0.0.tgz(r-4.6-arm64)scquantum_1.0.0.tgz(r-4.5-x86_64)scquantum_1.0.0.tgz(r-4.5-arm64)
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scquantum_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
scquantum/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.95 score 18 scripts 154 downloads 13 exports 0 dependencies

Last updated from:b6fcd39eef. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK104
linux-devel-x86_64OK100
source / vignettesOK122
linux-release-arm64OK103
linux-release-x86_64OK105
macos-release-arm64OK107
macos-release-x86_64OK167
macos-oldrel-arm64OK78
macos-oldrel-x86_64OK137
windows-develOK71
windows-releaseOK67
windows-oldrelOK62
wasm-releaseOK84

Exports:ecf.global.maxexpected.peak.heightsgatirises.pluspurplel2e.normal.sdploidy.inferenceprof2invalsquantum.sdseg2invalssegment.summarizetf.dptimeseries.iodweighted.ecf

Dependencies: