SiPSiC
Calculate Pathway Scores for Each Cell in scRNA-Seq Data
Bioconductor version: Release (3.20)
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] , Yotam Drier [aut]
Maintainer: Daniel Davis <DanielDavis000 at gmail.com>
citation("SiPSiC")
):
Installation
To install this package, start R (version "4.4") 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 Manual | ||
NEWS | Text | |
LICENSE | Text |
Details
biocViews | BiomedicalInformatics, CellBiology, DataImport, DifferentialExpression, GeneSetEnrichment, ImmunoOncology, RNASeq, Sequencing, SingleCell, Software, Transcription, Transcriptomics |
Version | 1.6.0 |
In Bioconductor since | BioC 3.17 (R-4.3) (1.5 years) |
License | file LICENSE |
Depends | Matrix, SingleCellExperiment |
Imports | |
System Requirements | |
URL | https://www.genome.org/cgi/doi/10.1101/gr.278431.123 |
Bug Reports | https://github.com/DanielDavis12/SiPSiC/issues |
See More
Suggests | knitr, rmarkdown, BiocStyle |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | SiPSiC_1.6.0.tar.gz |
Windows Binary (x86_64) | SiPSiC_1.6.0.zip |
macOS Binary (x86_64) | SiPSiC_1.6.0.tgz |
macOS Binary (arm64) | SiPSiC_1.6.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/SiPSiC |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SiPSiC |
Bioc Package Browser | https://code.bioconductor.org/browse/SiPSiC/ |
Package Short Url | https://bioconductor.org/packages/SiPSiC/ |
Package Downloads Report | Download Stats |