Closed dpique closed 7 years ago
Hi @dpique
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: oncomix
Title: Identifying Genes Overexpressed in Subsets of Tumors from Tumor-Normal mRNA
Expression Data
Version: 0.99.0
Author: Daniel Pique, John Greally, Jessica Mar
Maintainer: Daniel Pique <daniel.pique@med.einstein.yu.edu>
Description: This package helps identify mRNAs that are overexpressed in subsets
of tumors relative to normal tissue. Ideal inputs would be paired tumor-normal
data from the same tissue from many patients (>15 pairs). This unsupervised
approach relies on the observation that oncogenes are characteristically
overexpressed in only a subset of tumors in the population, and may help
identify oncogene candidates purely based on differences in mRNA expression
between previously unknown subtypes.
Depends:
R (>= 3.4.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests:
knitr,
rmarkdown,
testthat,
RMySQL
Imports:
ggplot2,
ggrepel,
RColorBrewer,
mclust,
stats
VignetteBuilder: knitr
biocViews: GeneExpression, Sequencing
Your package has been approved for building. Your package is now submitted to our queue.
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Received a valid push; starting a build. Commits are:
8303868 subscribed to bioc-devel list
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Your package has been built on Linux, Mac, and Windows.
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R CMD build: ok
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ok
ok. Good job.
ok
Wouldn't it be easier if dfNml, and dfTumor were just matrices? Support the class SummarizedExperiment as input to your function.
Accept transposed data, where rows are genes and patients are columns, which is common in bioinformatics.
Replace 1:ncol (L:58:oncoMix_two_component_mixture_models.R) to seq_len(ncol(dfNml))
Describe the data more, i.e how they were obtained and processed.
Received a valid push; starting a build. Commits are:
1affef8 added updates
Dear Package contributor,
This is the automated single package builder at bioconductor.org.
Your package has been built on Linux, Mac, and Windows.
Congratulations! The package built without errors or warnings on all platforms.
Please see the following build report for more details:
http://bioconductor.org/spb_reports/oncomix_buildreport_20171010191802.html
Hi @nturaga,
Thanks for your feedback on my package. I have listed the changes as sub-bullet points below each of your comments.
Please let me know if there's anything that needs clarification.
Best, Daniel
mixModelParams
function.Hi @dpique
Once you are ready with the changes, please provide a brief summary for each point. I will review your package again after you reply.
Hi @nturaga,
Thanks for your message. I updated the package based on your feedback, and a summary of the changes that I made are listed below. Please let me know if there's anything that needs clarification. Looking forward to hearing your feedback on this new set of changes.
Best, Daniel
I added a new function, toMatrix
, to convert SummarizedExperiment and data.frame objects to matrices. I added toMatrix
to the body of functions where dfNml and dfTumor – which are now matrices – are used as inputs.
I renamed dfNml and dfTumor to exprNml and exprTum to avoid confusion about the object class that is required as input (now that several matrix-like classes, not just a dataframe (df), can be used as input to the mixModelParams and plotGeneHist functions).
I rearranged the functions to accept matrices in which the rows are genes and patients are columns.
I replaced 1:ncol (L:58:oncoMix_two_component_mixture_models.R) with seq_len(ncol(dfNml)). I also updated the man examples to include seq_len() where possible.
I updated the description of the return value for the mixModelParams
function.
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