Bioconductor – 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 1.0.5
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 github.com/kumeS/BioImageDbs
Depends On Me
Imports Me
Suggests Me
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Build Report  

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


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