Closed tyeulalio closed 1 year ago
Hi @tyeulalio
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: regionalpcs
Title: Summarizing Regional Methylation with Regional Principal Components Analysis
Version: 0.99.1
Authors@R:
person("Tiffany", "Eulalio", , "tyeulalio@gmail.com",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-7084-9646"))
Description:
Functions to summarize DNA methylation data using regional principal
components. Regional principal components are computed using principal
components analysis within genomic regions to summarize the variability
in methylation levels across CpGs. The number of principal components is
chosen using either the Marcenko-Pasteur or Gavish-Donoho method to
identify relevant signal in the data.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
URL: https://github.com/tyeulalio/regionalpcs
BugReports: https://github.com/tyeulalio/regionalpcs/issues
biocViews:
DNAMethylation,
DifferentialMethylation,
StatisticalMethod,
Software,
MethylationArray
Imports:
dplyr,
magrittr,
PCAtools,
tibble
Suggests:
GenomicRanges,
IlluminaHumanMethylation450kanno.ilmn12.hg19,
knitr,
liftOver,
rmarkdown,
RMTstat,
RNOmni,
testthat (>= 3.0.0),
tidyverse,
BiocStyle
Config/testthat/edition: 3
VignetteBuilder: knitr
Depends:
R (>= 4.3.0)
LazyData: false
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The following are build products from R CMD build on the Bioconductor Build System: macOS 12.6.5 Monterey: regionalpcs_0.99.1.tar.gz
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Received a valid push on git.bioconductor.org; starting a build for commit id: 738e9f00209f394e557526137ac547d351d3b377
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The following are build products from R CMD build on the Bioconductor Build System: Linux (Ubuntu 22.04.2 LTS): regionalpcs_0.99.2.tar.gz macOS 12.6.5 Monterey: regionalpcs_0.99.2.tar.gz
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Hi Tiffany, @tyeulalio Thank you for your submission. Please see the review below. Best, Marcel
TxDb.*
and GenomicFeatures
. You can also download methylation data from
a number of packages that provide it (e.g., curatedTCGAData
(disclaimer: my
package), GenomicDataCommons
, RTCGA.methylation
, TCGAbiolinks
, etc.)%>%
and use the native pipe |>
.author:
in yaml headermatch.arg
in compute_regional_pcs
(and others) and use c("gd", "mp")
as the default pc_method
argument.liftOver
.Received a valid push on git.bioconductor.org; starting a build for commit id: 307901c11f63ec446eb516314d643d06c7e05610
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: regionalpcs_0.99.3.tar.gz Linux (Ubuntu 22.04.2 LTS): regionalpcs_0.99.3.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/regionalpcs
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A quick tutorial for setting up remotes and pushing to upstream can be found here.
Hello Marcel, @LiNk-NY Thank you for the helpful review. I have incorporated your feedback into the newest package update. I've responded to each comment below with the changes that were implemented. Best, Tiffany
regionalpcs
- The package looks sound. It should use Bioconductor functionality such as
TxDb.*
andGenomicFeatures
. You can also download methylation data from a number of packages that provide it (e.g.,curatedTCGAData
(disclaimer: my package),GenomicDataCommons
,RTCGA.methylation
,TCGAbiolinks
, etc.)
Thanks for the suggestion, I wasn't familiar with many of these packages. I removed all of the data that I had included with my package. I opted for TxDb+minfi to get the genomic annotations and a small example methylation dataset for the vignette.
DESCRIPTION
- Looks good
NAMESPACE
- Minimal number of exports, good.
- Avoid using magrittr pipe
%>%
and use the native pipe|>
.
I replaced all pipes with the native pipe throughout the entire package.
vignettes
- Add
author:
in yaml header- First part of the vignette seems to be closer to a workflow. Can it be reduced just to highlight the package functionality?
Added author to yaml header as requested. I cut out the beginning of the vignette and went straight from loading the data to using the package.
R
- Use
match.arg
incompute_regional_pcs
(and others) and usec("gd", "mp")
as the defaultpc_method
argument.- Use Bioconductor infrastructure instead of providing your own data. There are packages that allow you to download promoter regions and methylation data and possibly avoid using
liftOver
.
Thanks, match.arg
is quite useful! I used this in all functions where appropriate. As mentioned above, I removed all data that was included with the package and used Bioconductor packages instead. No longer using liftOver in the package.
Hi Tiffany, @tyeulalio I'm glad to hear that you were able to re-use existing datasets! The package looks good.
Best, Marcel
PS. Note that you can use switch to obtain the appropriate function if both function calls have the same signature:
compute_dimension <- function(x, var_explained, noise_select, method = c("gd", "mp"), verbose = FALSE) {
method <- match.arg(method)
FUN <- switch(
method,
gd = PCAtools::chooseGavishDonoho,
mp = PCAtools::chooseMarchenkoPastur
)
FUN(var.explained = var_explained, nose = noise_select)
}
Received a valid push on git.bioconductor.org; starting a build for commit id: 0d0b68f26e636152c11142917c5abd5dbc2355a4
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: regionalpcs_0.99.4.tar.gz Linux (Ubuntu 22.04.2 LTS): regionalpcs_0.99.4.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/regionalpcs
to trigger a new build.
A quick tutorial for setting up remotes and pushing to upstream can be found here.
Hi Marcel, @LiNk-NY
Thanks for the tip! I updated the compute_dimension
function using the switch statement.
Best, Tiffany
Thanks for making those changes. Your package has been accepted. Best, Marcel
Your package has been accepted. It will be added to the Bioconductor nightly builds.
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Thank you Marcel! @LiNk-NY That's great news! I appreciate all of your time and help with my package. Best, Tiffany
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