bioc-issue-bot
commented
10 months ago Hi @frankcsquared
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: GAClustR
Type: Package
Title: Genetic Algorithms for Enhancing Clustering of Gene Expression
Data
Version: 0.99.1
Authors@R:
person(given = "Zejia", family = "Chen", email = "zchen@qmed.ca", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-4286-7871"))
Description: Utilize the power of genetic algorithms to enhance clustering performance in scenarios where clusters play a pivotal role in correlation calculations. Employ a genetic algorithm with a fitness function centered around correlation to optimize clustering outcomes, ultimately maximizing correlation values. This package finds frequent application in the realm of gene expression data analysis.
License: MIT + file LICENSE
biocViews: DifferentialExpression, Clustering, RNASeq, Transcription
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
Imports: GA, methods, Rfast, stats, utils
RoxygenNote: 7.2.3
Suggests: testthat (>= 3.0.0), DESeq2, SummarizedExperiment
LazyData: true
Depends: R (>= 3.5.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2023-10-26 16:51:33 UTC; edi
Author: Zejia Chen [aut, cre] (<https://orcid.org/0000-0002-4286-7871>)
Maintainer: Zejia Chen <zchen@qmed.ca>
lshep
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