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")
Providing Bioimage Dataset for ExperimentHub | ||
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 | |
Links To Me | |
Build Report |
Package Archives
Follow
Installation instructions to use this
package in your R session.
Read more here: Source link