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DESCRIPTION
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DESCRIPTION
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Package: GeneSelectR
Title: Comprehensive Feature Selection Worfkflow for Bulk RNAseq Datasets
Version: 0.0.0.9000
Authors@R:
person("Damir", "Zhakparov", , "dzhakparov@gmail.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0001-7175-0843"))
Description: GeneSelectR is a versatile R package designed for efficient RNA sequencing data analysis. Its key innovation lies in the seamless integration of the Python sklearn machine learning framework with R-based bioinformatics tools. This integration enables GeneSelectR to perform robust ML-driven feature selection while simultaneously leveraging the power of Gene Ontology (GO) enrichment and semantic similarity analyses. By combining these diverse methodologies, GeneSelectR offers a comprehensive workflow that optimizes both the computational aspects of ML and the biological insights afforded by advanced bioinformatics analyses. Ideal for researchers in bioinformatics, GeneSelectR stands out as a unique tool for analyzing complex RNAseq datasets with enhanced precision and relevance.
License: MIT + file LICENSE
URL: https://github.com/dzhakparov/GeneSelectR
BugReports: https://github.com/dzhakparov/GeneSelectR/issues
Imports:
cowplot (>= 1.1.1),
dplyr (>= 1.1.0),
ggplot2 (>= 3.4.2),
glue (>= 1.6.2),
magrittr (>= 2.0.3),
methods (>= 4.2.2),
RColorBrewer (>= 1.1.3),
reshape2 (>= 1.4.4),
reticulate (>= 1.28),
rlang (>= 1.1.1),
testthat (>= 3.0.0),
tibble (>= 3.2.1),
tidyr (>= 1.3.0),
tmod (>= 0.50.13),
biocViews:
Suggests:
clusterProfiler (>= 4.6.2),
GO.db (>= 3.17.0),
simplifyEnrichment (>= 1.8.0),
knitr,
rmarkdown,
BiocManager (>= 1.30.21),
UpSetR (>= 1.4.0),
AnnotationHub (>= 3.8.0),
ensembldb (>= 2.24.0),
org.Hs.eg.db (>= 3.17.0)
Config/testthat/edition: 3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
VignetteBuilder: knitr
Depends:
R (>= 2.10)
LazyData: true