BioImageDbs

DOI: 10.18129/B9.bioc.BioImageDbs    

This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see BioImageDbs.

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

Bioconductor version: 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>

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	1.0.5
License	Artistic-2.0
Depends	R (>= 4.1.0)
Imports	ExperimentHub(>= 1.16.1), markdown, rmarkdown, EBImage, magick, magrittr, filesstrings, animation, einsum
LinkingTo
Suggests	knitr, BiocStyle, purrr
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_1.0.5.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 [email protected]:packages/BioImageDbs
Package Short Url	https://bioconductor.org/packages/BioImageDbs/
Package Downloads Report	Download Stats