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Bioconductor - BioImageDbs

BioImageDbs

This is the released version of BioImageDbs; for the devel version, see BioImageDbs.

Bio- and biomedical imaging dataset for machine learning and deep learning (for ExperimentHub)

Bioconductor version: Release (3.21)

The package provides a bioimage dataset for the image analysis using machine learning and deep learning. The dataset includes microscopy imaging data with supervised labels. The data is provided as R list data that can be loaded to Keras/tensorflow in R.

Author: Satoshi Kume [aut, cre] ORCID: 0000-0001-7481-2843 , Kozo Nishida [aut] ORCID: 0000-0001-8501-7319

Maintainer: Satoshi Kume <satoshi.kume.1984 at gmail.com>

Citation (from within R, enter citation("BioImageDbs")): Installation

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


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

BiocManager::install("BioImageDbs")

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

Documentation

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

browseVignettes("BioImageDbs")
Details biocViews CellCulture, ExperimentData, ExperimentHub, Tissue Version 1.16.0 License Artistic-2.0 Depends R (>= 4.1.0) Imports ExperimentHub, AnnotationHub, markdown, rmarkdown, EBImage, magick, magrittr, filesstrings, animation, einsum System Requirements URL https://kumes.github.io/BioImageDbs/ See More Package Archives

Follow Installation instructions to use this package in your R session.

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