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lute #3167

Closed metamaden closed 8 months ago

metamaden commented 9 months ago

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bioc-issue-bot commented 9 months ago

Hi @metamaden

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: lute
Version: 0.99.0
Title: Framework for cell size scale factor normalized bulk transcriptomics deconvolution experiments
Authors@R: c(person(c("Sean", "K"), "Maden", role = c("cre", "aut"), 
    email = "maden.sean@gmail.com", comment = c(ORCID = "0000-0002-2212-4894")),
    person("Stephanie", "Hicks", role = "aut", email = "shicks19@gmail.com", comment = c(ORCID = "0000-0002-7858-0231")))
Description: Provides a framework for adjustment on cell type size when performing bulk transcripomics deconvolution. The main framework function provides a means of reference normalization using cell size scale factors. It allows for marker selection and deconvolution using non-negative least squares (NNLS) by default. The framework is extensible for other marker selection and deconvolution algorithms, and users may reuse the generics, methods, and classes for these when developing new algorithms.
License: Artistic-2.0
Encoding: UTF-8
URL: https://github.com/metamaden/lute
BugReports: https://github.com/metamaden/lute/issues
LazyData: FALSE
Depends:
    R (>= 4.3.0),
    stats,
    methods,
    utils,
    SummarizedExperiment,
    SingleCellExperiment,
    BiocGenerics
Imports:
    S4Vectors,
    Biobase,
    scran,
    dplyr
Suggests:
    nnls, 
    knitr,
    testthat,
    rmarkdown,
    BiocStyle,
    GenomicRanges,
    limma,
    ExperimentHub,
    AnnotationHub,
    DelayedMatrixStats,
    BisqueRNA,
    DelayedArray
VignetteBuilder:
    knitr
biocViews: RNASeq, Sequencing, SingleCell, Coverage, Transcriptomics, Normalization
RoxygenNote: 7.2.3
Collate: 
    'lute_generics.R'
    'deconvolutionParam-class.R'
    'referencebasedParam-class.R'
    'independentbulkParam-class.R'
    'bisqueParam-class.R'
    'typemarkersParam-class.R'
    'findmarkersParam-class.R'
    'globals.R'
    'lute_cellScaleFactors.R'
    'lute_classes.R'
    'lute_conversions.R'
    'lute_framework.R'
    'lute_metadata.R'
    'lute_randomized-data.R'
    'lute_rnf.R'
    'lute_utilities.R'
    'nnlsParam-class.R'
federicomarini commented 9 months ago

Is this somehow related/can borrow ideas from the omnideconv package/framework? See https://github.com/omnideconv/omnideconv/ for more details

metamaden commented 9 months ago

Hi there,

Thanks for pointing out the omnideconv resource and for the suggestion that lute borrow ideas from omnideconv. I have looked at the omnideconv repo, and it seems like both lute and omnideconv provide support for multiple deconvolution algorithms, but that each uses a distinct approach. Perhaps there are properties from omnideconv that could be incorporated in lute, but it's not clear.

I think lute and omnideconv will have to remain as separate frameworks that the community could choose from, for several reasons. First, we want lute to be available on Bioconductor, and it only ships with support for CRAN (nnls, BisqueRNA) and Bioconductor (scuttle) algorithms. omnideconv supports several algorithms not on CRAN or Bioconductor. Second, lute uses generics, methods, and classes based on the bluster package. These resources could be utilized by other developers to develop their algorithms, including omnideconv, but I am not sure if the reverse is true (i.e. that lute could utilize the omnideconv approach for supporting multiple algorithms). Third, the lute framework has 2 steps, (1) a cell type marker identification step and (2) a deconvolution step. Both steps use standard term mappings so that the same inputs can be passed to variable pipelines or combinations of the 2 steps. Fourth, I designed lute for standard application of cell size scale factors. This is a step performed outside of the supported algorithms, to allow its routine use in deconvolution experiments.

best regards,

Sean

federicomarini commented 9 months ago

Hi Sean, thanks for the detailed answer!

I did not mean in any way that this is a duplicated effort - I am aware of the pros and cons of the approach omnideconv deliberately took!

I know the support for CRAN/Bioc only was a tough choice, but also the only way to include some methods that, for one reason or another, did not (want to) make it to any of these two venues.

I like a lot some of the design decisions you took, and look forward for this to be welcome into the Bioc ecosystem.

The best thing is that both projects are out in the open, and that is the best to learn from each other/improve each other, exploiting some lessons learnt and so on 😉

Federico

bioc-issue-bot commented 9 months ago

Your package has been added to git.bioconductor.org to continue the pre-review process. A build report will be posted shortly. Please fix any ERROR and WARNING in the build report before a reviewer is assigned or provide a justification on why you feel the ERROR or WARNING should be granted an exception.

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bioc-issue-bot commented 9 months ago

Dear Package contributor,

This is the automated single package builder at bioconductor.org.

Your package has been built on the Bioconductor Build System.

On one or more platforms, the build results were: "ERROR". This may mean there is a problem with the package that you need to fix. Or it may mean that there is a problem with the build system itself.

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The following are build products from R CMD build on the Bioconductor Build System: Linux (Ubuntu 22.04.2 LTS): lute_0.99.0.tar.gz macOS 12.6.5 Monterey: lute_0.99.0.tar.gz

Links above active for 21 days.

Remember: if you submitted your package after July 7th, 2020, when making changes to your repository push to git@git.bioconductor.org:packages/lute to trigger a new build. A quick tutorial for setting up remotes and pushing to upstream can be found here.

bioc-issue-bot commented 9 months ago

Received a valid push on git.bioconductor.org; starting a build for commit id: 1f34856e0611a235036f4a86d8c901280cc39618

bioc-issue-bot commented 9 months ago

Dear Package contributor,

This is the automated single package builder at bioconductor.org.

Your package has been built on the Bioconductor Build System.

On one or more platforms, the build results were: "ERROR". This may mean there is a problem with the package that you need to fix. Or it may mean that there is a problem with the build system itself.

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The following are build products from R CMD build on the Bioconductor Build System: Linux (Ubuntu 22.04.2 LTS): lute_0.99.3.tar.gz macOS 12.6.5 Monterey: lute_0.99.3.tar.gz

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Received a valid push on git.bioconductor.org; starting a build for commit id: 345ee853acf94e0d7a42b9e518658e8a6db0b1ec

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bioc-issue-bot commented 9 months ago

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bioc-issue-bot commented 9 months ago

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The following are build products from R CMD build on the Bioconductor Build System: macOS 12.6.5 Monterey: lute_0.99.5.tar.gz Linux (Ubuntu 22.04.2 LTS): lute_0.99.5.tar.gz

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bioc-issue-bot commented 9 months ago

A reviewer has been assigned to your package for an indepth review. Please respond accordingly to any further comments from the reviewer.

DarioS commented 9 months ago

The package is at a fairly well-developed state. Some issues are:

metamaden commented 8 months ago

Hello,

Thanks for this feedback! I have taken the following steps to address these issues:

The package is at a fairly well-developed state. Some issues are:

For use of space, spaces were removed around "=" in function calls and definitions, and spaces have been added around "==" calls. Comment hashes have also been added. Variable names have also been improved throughout the package.

I have not yet changed any function and class names, but I would be happy to make specific changes. The class names borrowed nomenclature from the bluster package, but they should say include lute in the name? Please let me know.

  • Put the show method on the same page as the class definition. For example, see ?GenomicRanges::GenomicRanges.

The show method has been added to the class definitions for bisqueParam, nnlsParam, typemarkersParam, and findmarkersParam. The remaining classes already have show in their scripts.

I have revised variables s, y, and z and several of the shortest variable names to make them more informative (e.g. "s" was changed to "input_s", etc.).

Function argument names are descriptive and documented.

Function argument descriptions and names have been improved

  • The image deconvolutionParam_hierarchy_diagram.jpeg is blurry when embedded in the rendered HTML document.

The old image (82KB) has been replaced with a higher resolution version (119KB).

  • Vignette needs to have an Installation section. See Installation.

An installation section has been added to the package User's Guide.

  • The main application is deconvolution with cell size adjustment. Some justification of why size adjustment is important should be added. Why is it important biologically? Does it enable new conclusions which are not possible without it?

I have added a subheading called "Biological importance of cell size scale factors" in the User's Guide to explain the definition and biological importance of cell size scale factors more clearly. The new pseudobulk example vignette also discusses this a little.

  • Could the interoperability with existing Bioconductor packages be increased? Is anything in SingleCellData view reusable? Currently, all examples use simulated data and it may be more engaging to readers to see a biological data set.

A new vignette titled "Pseudobulk cell size rescaling example" shows a small pseudobulk example that uses snRNAseq data from the scRNAseq R/Bioconductor package. This shows results from scaling versus not scaling with cell size scale factors, and discusses a little about how to derive them.

Sincerely,

Sean

bioc-issue-bot commented 8 months ago

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Remember: if you submitted your package after July 7th, 2020, when making changes to your repository push to git@git.bioconductor.org:packages/lute to trigger a new build. A quick tutorial for setting up remotes and pushing to upstream can be found here.

bioc-issue-bot commented 8 months ago

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bioc-issue-bot commented 8 months ago

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The following are build products from R CMD build on the Bioconductor Build System: Linux (Ubuntu 22.04.2 LTS): lute_0.99.9.tar.gz

Links above active for 21 days.

Remember: if you submitted your package after July 7th, 2020, when making changes to your repository push to git@git.bioconductor.org:packages/lute to trigger a new build. A quick tutorial for setting up remotes and pushing to upstream can be found here.

bioc-issue-bot commented 8 months ago

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bioc-issue-bot commented 8 months ago

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bioc-issue-bot commented 8 months ago

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DarioS commented 8 months ago

In general, don't use the format of word1.word2 because it looks like S3 class syntax and you don't use S3 classes.

Use camelCase: initial lowercase, then alternate case between words.

Also, replacing s with input_s is not more intuitive. Something such as sizeFactor is. Bluster does e.g. nestedClusters. Also the parameters not really been refactored but just reassigned internally by input_z <- z; input_s <- s; input_y <- y; input_yse <- y.se;.

Using consistent variable and function naming style helps users when switching between Bioconductor packages. That's the intention of the contributor's guide but didn't apply to older packages accepted into Bioconductor a few years ago.

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Please see the build report for more details.

The following are build products from R CMD build on the Bioconductor Build System: Linux (Ubuntu 22.04.2 LTS): lute_0.99.23.tar.gz macOS 12.6.5 Monterey: lute_0.99.23.tar.gz

Links above active for 21 days.

Remember: if you submitted your package after July 7th, 2020, when making changes to your repository push to git@git.bioconductor.org:packages/lute to trigger a new build. A quick tutorial for setting up remotes and pushing to upstream can be found here.

bioc-issue-bot commented 8 months ago

Received a valid push on git.bioconductor.org; starting a build for commit id: c645e0abaeac0741c375710c3486de482fc1fd6d

bioc-issue-bot commented 8 months ago

Dear Package contributor,

This is the automated single package builder at bioconductor.org.

Your package has been built on the Bioconductor Build System.

Congratulations! The package built without errors or warnings on all platforms.

Please see the build report for more details.

The following are build products from R CMD build on the Bioconductor Build System: macOS 12.6.5 Monterey: lute_0.99.24.tar.gz Linux (Ubuntu 22.04.2 LTS): lute_0.99.24.tar.gz

Links above active for 21 days.

Remember: if you submitted your package after July 7th, 2020, when making changes to your repository push to git@git.bioconductor.org:packages/lute to trigger a new build. A quick tutorial for setting up remotes and pushing to upstream can be found here.