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simpleSeg

This is thereleased version of simpleSeg; for the devel version, seesimpleSeg.

A package to perform simple cell segmentation

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DOI: 10.18129/B9.bioc.simpleSeg


Bioconductor version: Release (3.22)

Image segmentation is the process of identifying the borders of individual objects (in this case cells) within an image. This allows for the features of cells such as marker expression and morphology to be extracted, stored and analysed. simpleSeg provides functionality for user friendly, watershed based segmentation on multiplexed cellular images in R based on the intensity of user specified protein marker channels. simpleSeg can also be used for the normalization of single cell data obtained from multiple images.

Author: Nicolas Canete [aut], Alexander Nicholls [aut], Ellis Patrick [aut, cre]

Maintainer: Ellis Patrick <ellis.patrick at sydney.edu.au>

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

Installation

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

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

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("simpleSeg")
Introduction to simpleSegHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsClassification,Normalization,SingleCell,Software,Spatial,Survival
Version1.12.0
In Bioconductor sinceBioC 3.16 (R-4.2) (3 years)
LicenseGPL-3
DependsR (>= 3.5.0)
ImportsBiocParallel,EBImage,terra, stats,spatstat.geom,S4Vectors, grDevices,SummarizedExperiment, methods,cytomapper
System Requirements
URLhttps://sydneybiox.github.io/simpleSeg/https://github.com/SydneyBioX/simpleSeg
Bug Reportshttps://github.com/SydneyBioX/simpleSeg/issues
See More
SuggestsBiocStyle,testthat (>= 3.0.0),knitr,ggplot2
Linking To
Enhances
Depends On Me
Imports MelisaClust,spicyR
Suggests MespicyWorkflow
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagesimpleSeg_1.12.0.tar.gz
Windows Binary (x86_64) simpleSeg_1.12.0.zip
macOS Binary (x86_64)simpleSeg_1.12.0.tgz
macOS Binary (arm64)simpleSeg_1.12.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/simpleSeg
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/simpleSeg
Bioc Package Browserhttps://code.bioconductor.org/browse/simpleSeg/
Package Short Urlhttps://bioconductor.org/packages/simpleSeg/
Package Downloads ReportDownload Stats

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