Package: islify Title: Automatic scoring and classification of cell-based assay images Version: 1.4.0 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: Bioconductor 3.23 Date/Publication: 2026-04-28 13:05:00 UTC RemoteUrl: https://github.com/bioc/islify RemoteRef: RELEASE_3_23 RemoteSha: 6cda47f9329a71df2da9363fad6372359c6fb40a NeedsCompilation: no Packaged: 2026-09-21 11:28:53 UTC; root Author: Jakob Theorell [aut, cre, fnd] (ORCID: , Funding provided by the Swedish Wenner-Gren Foundations) Maintainer: Jakob Theorell