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FeatureStat Studio v1.0

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@Juaco2r Juaco2r released this 22 Jun 21:11
v1.0
1fb01ed

DOI

DOI: 10.5281/zenodo.20803088

First public release of FeatureStat Studio, a desktop GUI for grouped statistical analysis, publication-ready plots, histograms, ROC biomarker evaluation, and multi-feature batch visualization.

Release title

FeatureStat Studio v1.0.0 – First stable release

Suggested GitHub release description

FeatureStat Studio v1.0.0 is the first stable release of a lightweight desktop application designed to help researchers explore, compare, visualize, and export grouped experimental or biomedical feature data.

This release includes tools for loading tabular datasets, preparing groups, running pairwise statistical tests, generating plots and histograms, performing univariate ROC biomarker analysis, and applying the same analysis settings across multiple numeric features using the multi-feature workflow.

DOI

This release has been archived on Zenodo and assigned the following DOI:

10.5281/zenodo.20803088

Citation link:

https://doi.org/10.5281/zenodo.20803088

Main features

  • Load data from CSV, TSV, TXT, Excel, or pasted clipboard tables.
  • Support for wide and long data formats.
  • Prepare and rename groups with customizable colors and markers.
  • Run pairwise statistical comparisons.
  • Supported statistical tests include:
    • Unpaired t-test with equal SDs
    • Welch’s t-test
    • Mann–Whitney test
    • Kolmogorov–Smirnov test
    • Paired t-test
    • Ratio paired t-test
    • Wilcoxon matched-pairs signed-rank test
  • Multiple-comparison correction options:
    • None
    • Bonferroni
    • Holm
    • Benjamini–Hochberg FDR
  • Generate publication-ready plots:
    • Individual values with mean ± SD
    • Individual values with mean ± SEM
    • Box plots
    • Violin plots
    • Bar plots
  • Generate histograms with automatic or manual binning.
  • Perform univariate ROC biomarker analysis.
  • Export ROC threshold tables and ROC summaries.
  • Multi-feature batch analysis for long-format datasets.
  • Preview and save:
    • One 3-panel figure per feature
    • Multiple features per visualization
    • All-feature plot grids
    • All-feature histogram grids
  • Export clean values, pairwise statistics, ROC summaries, threshold tables, figures, parameters, logs, validation reports, and project snapshots.
  • Save and load project files for reproducible analysis sessions.
  • Standalone executable build support for Windows, Linux, and macOS through PyInstaller and GitHub Actions.
  • Zenodo-ready metadata files for DOI-based software citation.

Downloads

Attach the generated release files to this GitHub release.

Recommended release assets:

  • FeatureStat_Studio_windows_v1.0.0.zip
  • FeatureStat_Studio_linux_v1.0.0.zip
  • FeatureStat_Studio_macos_v1.0.0.zip
  • Source code (zip)
  • Source code (tar.gz)

On Windows, the packaged application is intended to provide a single executable file:

FeatureStat_Studio.exe

On Linux, the packaged application is intended to provide a single executable file:

FeatureStat_Studio

On macOS, the packaged application is intended to provide an application bundle:

FeatureStat Studio.app

Installation from source

Clone the repository:

git clone https://github.com/Juaco2r/FeatureStat_Studio.git
cd FeatureStat_Studio

Create and activate a virtual environment:

python -m venv .venv

Windows:

.venv\Scripts\activate

Linux/macOS:

source .venv/bin/activate

Install dependencies:

pip install -r requirements.txt

Run the application:

python FeatureStat_Studio.py

Build from source

Install development dependencies:

pip install -r requirements-dev.txt

Build using PyInstaller.

Windows:

pyinstaller --clean --noconfirm packaging/pyinstaller/FeatureStat_Studio_windows.spec

Linux:

pyinstaller --clean --noconfirm packaging/pyinstaller/FeatureStat_Studio_linux.spec

macOS:

pyinstaller --clean --noconfirm packaging/pyinstaller/FeatureStat_Studio_macos.spec

Build outputs will be generated in the dist/ folder.

Recommended citation

Please cite this release as:

Rodríguez-Rojas, J. FeatureStat Studio (v1.0.0) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.20803088

For BibTeX or other citation formats, use the citation options available on the Zenodo DOI page.

Notes

This software is intended for exploratory and research use. Users should verify statistical choices, data formatting, and representative results before using outputs in publications, theses, or reports.

License

FeatureStat Studio is released under the MIT License.

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