BioImageDbs

DOI: 10.18129/B9.bioc.BioImageDbs    

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

Bioconductor version: Release (3.13)

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] , Kozo Nishida [aut]

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

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

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("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")

 

HTML R Script Providing Bioimage Dataset for ExperimentHub
PDF   Reference Manual
Text   NEWS

Details

biocViews CellCulture, ExperimentData, ExperimentHub, Tissue
Version 1.0.3
License Artistic-2.0
Depends R (>= 4.1.0)
Imports ExperimentHub(>= 1.16.1), markdown, rmarkdown, EBImage
LinkingTo
Suggests knitr, BiocStyle, magick, magrittr, purrr, filesstrings, animation
SystemRequirements
Enhances
URL https://github.com/kumeS/BioImageDbs
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package BioImageDbs_1.0.3.tar.gz
Windows Binary
macOS 10.13 (High Sierra)
Source Repository git clone https://git.bioconductor.org/packages/BioImageDbs
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/BioImageDbs
Package Short Url https://bioconductor.org/packages/BioImageDbs/
Package Downloads Report Download Stats

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