Package: islify
Title: Automatic scoring and classification of cell-based assay images
Version: 1.5.0
Date: 2025-09-03
biocViews:
        Software,CellBasedAssays,BiomedicalInformatics,FeatureExtraction,
        Visualization,Pathways,Classification
Authors@R: 
    person('Jakob', 'Theorell', email = "jakob.theorell@ki.se",
        role = c("aut", "cre", "fnd"), comment=c(ORCID="0000-0001-8752-3151",
        "Funding provided by the Swedish Wenner-Gren Foundations"))
Description: This software is meant to be used for classification of
        images of cell-based assays for neuronal surface autoantibody
        detection or similar techniques. It takes imaging files as
        input and creates a composite score from these, that for
        example can be used to classify samples as negative or positive
        for a certain antibody-specificity. The reason for its name is
        that I during its creation have thought about the individual
        picture as an archielago where we with different filters
        control the water level as well as ground characteristica,
        thereby finding islands of interest.
License: GPL-3
URL: https://github.com/Bioconductor/islify
BugReports: https://github.com/Bioconductor/islify/issues
Encoding: UTF-8
RoxygenNote: 7.3.2
Depends: R (>= 4.5)
Imports: autothresholdr (>= 1.4.2), Matrix (>= 1.6.1), RBioFormats (>=
        1.0.0), tiff (>= 0.1.12), png (>= 0.1.8), dbscan (>= 1.1.12),
        abind (>= 1.4.8), methods (>= 4.3.3), stats (>= 4.3.3)
Suggests: knitr, rmarkdown, testthat, BiocStyle
VignetteBuilder: knitr
Config/pak/sysreqs: cmake libfftw3-dev make default-jdk libbz2-dev
        libicu-dev libjpeg-dev liblzma-dev libpng-dev libtiff-dev
        libuv1-dev libwebp-dev libzstd-dev libx11-dev zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 13:05:00 UTC
RemoteUrl: https://github.com/bioc/islify
RemoteRef: HEAD
RemoteSha: 3b0b449530b2f3d60cc84632e1eeadd15ee07a9a
NeedsCompilation: no
Packaged: 2026-05-30 07:53:50 UTC; root
Author: Jakob Theorell [aut, cre, fnd] (ORCID:
    <https://orcid.org/0000-0001-8752-3151>, Funding provided by the
    Swedish Wenner-Gren Foundations)
Maintainer: Jakob Theorell <jakob.theorell@ki.se>