DESCRIPTION

Package: BiocAsia2021image
Title: Introduction to bioimage analysis using R in Bioc Asia 2021 workshop
Version: 0.9.6
Authors@R: 
    person(given = "Satoshi",
           family = "Kume",
           role = c("aut", "cre"),
           email = "satoshi.kume.1984@gmail.com",
           comment = c(ORCID = "0000-0001-7481-2843"))
Description: This workshop item serves for introduction to bioimage analysis 
    using R in Bioc Asia 2021 workshop [<https://kumes.github.io/biocasia2021-workshop-ja-image/>].
    This workshop covers basic methods of the image processing and image 
    analysis in R using the Bioconductor package “EBImage” and the Orchestra platform. 
    In addition, the image dataset is obtained from ExperimentHub using the “BioImageDbs” 
    package. Using this dataset, we perform a supervised image segmentation 
    using the U-NET model, one of deep learning models, provided by the rMiW package.
License: Artistic-2.0
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.0
Depends: R (>= 4.1.0)
Imports: Biobase,
    BiocStyle
Suggests: 
    knitr,
    rmarkdown,
    pkgdown   
URL: https://github.com/kumeS/biocasia2021-workshop-ja-image
VignetteBuilder: knitr
DockerImage: skume/biocasia2021-workshop-ja-image:latest