Package: SiPSiC 1.5.0

Daniel Davis

SiPSiC: Calculate Pathway Scores for Each Cell in scRNA-Seq Data

Infer biological pathway activity of cells from single-cell RNA-sequencing data by calculating a pathway score for each cell (pathway genes are specified by the user). It is recommended to have the data in Transcripts-Per-Million (TPM) or Counts-Per-Million (CPM) units for best results. Scores may change when adding cells to or removing cells off the data. SiPSiC stands for Single Pathway analysis in Single Cells.

Authors:Daniel Davis [aut, cre], Yotam Drier [aut]

SiPSiC_1.5.0.tar.gz
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SiPSiC_1.5.0.tgz(r-4.4-any)SiPSiC_1.5.0.tgz(r-4.3-any)
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SiPSiC.pdf |SiPSiC.html✨
SiPSiC/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/danieldavis12/sipsic/issues

On BioConductor:SiPSiC-1.5.0(bioc 3.20)SiPSiC-1.4.0(bioc 3.19)

bioconductor-package

1 exports 0.71 score 29 dependencies

Last updated 2 months agofrom:8388adc1a6

Exports:getPathwayScores

Dependencies:abindaskpassBiobaseBiocGenericscrayoncurlDelayedArrayGenomeInfoDbGenomeInfoDbDataGenomicRangeshttrIRangesjsonlitelatticeMatrixMatrixGenericsmatrixStatsmimeopensslR6S4ArraysS4VectorsSingleCellExperimentSparseArraySummarizedExperimentsysUCSC.utilsXVectorzlibbioc

SiPSiC - Infer Biological Pathway Activity from Single-Cell RNA-Seq Data

Rendered fromSiPSiC.Rmdusingknitr::rmarkdownon Jun 15 2024.

Last update: 2023-12-11
Started: 2023-01-09