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SEraster

This is thereleased version of SEraster; for the devel version, seeSEraster.

Rasterization Preprocessing Framework for Scalable Spatial Omics Data Analysis

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DOI: 10.18129/B9.bioc.SEraster


Bioconductor version: Release (3.22)

SEraster is a rasterization preprocessing framework that aggregates cellular information into spatial pixels to reduce resource requirements for spatial omics data analysis. SEraster reduces the number of spatial points in spatial omics datasets for downstream analysis through a process of rasterization where single cells’ gene expression or cell-type labels are aggregated into equally sized pixels based on a user-defined resolution. SEraster is built on an R/Bioconductor S4 class called SpatialExperiment. SEraster can be incorporated with other packages to conduct downstream analyses for spatial omics datasets, such as detecting spatially variable genes.

Author: Gohta Aihara [aut, cre]ORCID iD ORCID: 0000-0002-2492-9610, Mayling Chen [aut]ORCID iD ORCID: 0009-0009-0961-6665, Lyla Atta [aut]ORCID iD ORCID: 0000-0002-6113-0082, Jean Fan [aut, rev]ORCID iD ORCID: 0000-0002-0212-5451

Maintainer: Gohta Aihara <gohta.aihara at gmail.com>

Citation (from within R, entercitation("SEraster")):

Installation

To install this package, start R (version "4.5") and enter:

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

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

Documentation

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

browseVignettes("SEraster")
Getting Started With SErasterHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsGeneExpression,Preprocessing,SingleCell,Software,Spatial,Transcriptomics
Version1.2.0
In Bioconductor sinceBioC 3.21 (R-4.5) (0.5 years)
LicenseGPL-3
DependsR (>= 4.5.0)
ImportsBiocParallel,ggplot2,Matrix, methods,rearrr,sf,SpatialExperiment,SummarizedExperiment
System Requirements
URLhttps://github.com/JEFworks-Lab/SEraster
Bug Reportshttps://github.com/JEFworks-Lab/SEraster/issues
See More
SuggestsCooccurrenceAffinity,nnSVG,testthat (>= 3.0.0),knitr,rmarkdown,BiocManager,remotes
Linking To
Enhances
Depends On Me
Imports Me
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Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageSEraster_1.2.0.tar.gz
Windows Binary (x86_64) SEraster_1.2.0.zip
macOS Binary (x86_64)SEraster_1.2.0.tgz
macOS Binary (arm64)SEraster_1.2.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/SEraster
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/SEraster
Bioc Package Browserhttps://code.bioconductor.org/browse/SEraster/
Package Short Urlhttps://bioconductor.org/packages/SEraster/
Package Downloads ReportDownload Stats

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