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SiPSiC

This is the released version of SiPSiC; for the devel version, see SiPSiC.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17

Calculate Pathway Scores for Each Cell in scRNA-Seq Data


Bioconductor version: Release (3.23)

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.

Author: Daniel Davis [aut, cre] ORCID iD ORCID: 0000-0001-7863-1521 , Yotam Drier [aut]

Maintainer: Daniel Davis <DanielDavis000 at gmail.com>

Citation (from within R, enter citation("SiPSiC")):

Daniel Davis, Yotam Drier. SiPSiC: Calculate Pathway Scores for Each Cell in scRNA-Seq Data. doi:10.18129/B9.bioc.SiPSiC, R package version 1.12.0, https://bioconductor.org/packages/SiPSiC.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("SiPSiC")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("SiPSiC")
Infer Biological Pathway Activity from Single-Cell RNA-Seq Data HTML R Script
Reference ManualPDF
NEWSText
LICENSEText

Details

biocViews BiomedicalInformatics, CellBiology, DataImport, DifferentialExpression, GeneSetEnrichment, ImmunoOncology, RNASeq, Sequencing, SingleCell, Software, Transcription, Transcriptomics
Version1.12.0
In Bioconductor sinceBioC 3.17 (R-4.3) (3.5 years)
License file LICENSE
Depends Matrix, SingleCellExperiment
Imports
System Requirements
URLhttps://www.genome.org/cgi/doi/10.1101/gr.278431.123
Bug Reportshttps://github.com/DanielDavis12/SiPSiC/issues
See More
Suggests knitr, rmarkdown, BiocStyle
Linking To
Enhances
Depends On Me
Imports Me GSABenchmark
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package SiPSiC_1.12.0.tar.gz
Windows Binary (x86_64) SiPSiC_1.12.0.zip
macOS Binary (big-sur-x86_64) SiPSiC_1.12.0.tgz
macOS Binary (sonoma-arm64) SiPSiC_1.12.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/SiPSiC
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/SiPSiC
Package Short Url https://bioconductor.org/packages/SiPSiC/
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