Package: simpleSeg
Type: Package
Title: A package to perform simple cell segmentation
Description: 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.
Version: 1.4.1
Date: 2022-04-21
Authors@R: c(person("Nicolas", "Canete", email = "nicolas.canete@sydney.edu.au",
    role = c("aut")),
    person("Alexander", "Nicholls", email = "alexanderwnicholls@gmail.com",
    role = c("aut")),
    person("Ellis", "Patrick", email = "ellis.patrick@sydney.edu.au",
    role = c("aut", "cre")))
VignetteBuilder: knitr
Encoding: UTF-8
biocViews: Classification, Survival, SingleCell, Normalization, Spatial
Imports: BiocParallel, EBImage, terra, stats, spatstat.geom, S4Vectors,
        grDevices, SummarizedExperiment, methods, cytomapper
Suggests: BiocStyle, testthat (>= 3.0.0), knitr, ggplot2
License: GPL-3
RoxygenNote: 7.2.3
Config/testthat/edition: 3
BugReports: https://github.com/SydneyBioX/simpleSeg/issues
URL: https://sydneybiox.github.io/simpleSeg/
        https://github.com/SydneyBioX/simpleSeg
git_url: https://git.bioconductor.org/packages/simpleSeg
git_branch: RELEASE_3_18
git_last_commit: d1db456
git_last_commit_date: 2023-12-10
Repository: Bioconductor 3.18
Date/Publication: 2023-12-12
NeedsCompilation: no
Packaged: 2023-12-13 07:44:23 UTC; biocbuild
Author: Nicolas Canete [aut],
  Alexander Nicholls [aut],
  Ellis Patrick [aut, cre]
Maintainer: Ellis Patrick <ellis.patrick@sydney.edu.au>
Depends: R (>= 3.5.0)
Built: R 4.3.2; ; 2023-12-14 15:25:49 UTC; unix
