This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see BioImageDbs.
Bioconductor version: 3.17
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")
):
To install this package, start R (version "4.3") 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.
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 |
HTML | R Script | The BioImageBbs Datasets |
Reference Manual | ||
Text | NEWS |
biocViews | CellCulture, ExperimentData, ExperimentHub, Tissue |
Version | 1.8.0 |
License | Artistic-2.0 |
Depends | R (>= 4.1.0) |
Imports | ExperimentHub, AnnotationHub, markdown, rmarkdown, EBImage, magick, magrittr, filesstrings, animation, einsum |
LinkingTo | |
Suggests | knitr, BiocStyle, purrr |
SystemRequirements | |
Enhances | |
URL | https://kumes.github.io/BioImageDbs/ |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | BioImageDbs_1.8.0.tar.gz |
Windows Binary | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
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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