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DESCRIPTION

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Package: markeR
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Title: An R Toolkit for Evaluating Gene Signatures as Phenotypic Markers
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Version: 1.1.0
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Version: 1.1.1
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Authors@R:
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c(
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person("Rita", "Martins-Silva",

NEWS.md

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# markeR 1.1.0 (11 Mar, 2026)
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- Added `p.adjust.method` parameter to `runGSEA()`, `VariableAssociation()`, `Heatmap_Cohen()`,
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enabling selection of
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alternative multiple testing correction methods beyond the default
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Benjamini-Hochberg FDR, including Holm-Bonferroni, Hommel, and
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Benjamini-Yekutieli procedures.
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# markeR 1.1.1 (11 Mar, 2026)
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- Added `p.adjust.method` parameter across all functions performing or
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depending on multiple testing correction, allowing users to specify
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any correction method supported by `stats::p.adjust()`, beyond the default
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Benjamini-Hochberg FDR.
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- Added Python bridge scripts in `inst/python/` for users who wish to call
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markeR from a Python environment via `rpy2`. Includes a tutorial workflow
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script and a generic command-line wrapper capable of invoking any exported

README.Rmd

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> **To cite `markeR` please use:**
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> Martins-Silva R, Kaizeler A, Barbosa-Morais NL (2025). _markeR: An R Toolkit for Evaluating Gene Signatures as Phenotypic Markers_. doi:10.18129/B9.bioc.markeR, R package version 1.1.0, https://bioconductor.org/packages/markeR.
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> Martins-Silva R, Kaizeler A, Barbosa-Morais NL (2025). _markeR: An R Toolkit for Evaluating Gene Signatures as Phenotypic Markers_. doi:10.18129/B9.bioc.markeR, R package version 1.1.1, https://bioconductor.org/packages/markeR.
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The folder `inst/Paper/` is in the **paper** branch and contains all scripts and materials used in the original `markeR` paper to reproduce analyses and figures. You can browse it [here](https://github.com/DiseaseTranscriptomicsLab/markeR/tree/paper/inst/Paper).
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