ADM

[Seven595]

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• Repository: https://github.com/Seven595/ADM

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[bioc-issue-bot]

Hi @Seven595

Thanks for submitting your package. We are taking a quick look at it and you will hear back from us soon.

The DESCRIPTION file for this package is:

Package: ADM
Title: Advanced Distance Measurement for High-Dimensional Data Analysis
Version: 0.99.0
Authors@R: 
    person("Junning", "Feng", email = "jnfeng3522@gmail.com", role = c("aut", "cre"))
Description: ADM provides a suite of advanced distance measurement methods for high-dimensional data analysis. The package implements various dimensionality reduction and visualization techniques, including UMAP, t-SNE, and PCA, along with tools for evaluating the performance of these methods. Additionally, ADM includes functions for calculating inter-group similarities and custom ggplot2 themes for data visualization.
License: Artistic-2.0
Encoding: UTF-8
LazyData: false
Depends: R (>= 4.3.0)
Imports:
    stats,
    MASS,
    rARPACK,
    utils,
    grDevices,
    graphics,
    methods,
    phateR,
    ggplot2,
    mclust,
    cluster,
    magrittr,
    tidyr,
    dplyr,
    ggrepel,
    BiocParallel,
    uwot,
    aricode,
    DDoutlier,
    diffudist,
    fitdistrplus,
    igraph,
    Rtsne,
    dimRed
Suggests:
    knitr,
    rmarkdown,
    MixGHD,
    testthat (>= 3.0.0),
    RDRToolbox,
    class,
    dbscan,
    survival,
    umap
Config/testthat/edition: 3
VignetteBuilder: knitr
biocViews: Visualization, DimensionReduction, FeatureExtraction, Clustering
RoxygenNote: 7.3.2

[lshep]

Please review the Bioconductor guidelines . You should not have the results of R CMD build or R CMD check committed to your repo nor ADM.Rproj. Bioconductor also requires a vignette and you will need to show interaction with existing Bioconductor class object. In your vignette it will also be necessary to show a comparison to existing methods in Bioconductor and how the ones in your package are novel as there are many packages that implement UMAP, t-SNE and PCA already.