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EXPLANA: Feature selection software for cross-sectional and longitudinal microbiome studies; interpretable reports for complex machine learning models
EXPLANA Feature selection report for explainable machine learning results for cross-sectional or longitudinal microbiome studies; dynamic methods page, visual and textual representations of how and why features relate to scientific outcomes

EXPLoratory ANAlysis and feature selection for cross-sectional and longitudinal data

Finding patterns in your data

EXPLANA is not a black box. Methods are transparent & peer-reviewed

(Fouquier et al., Bioinformatics, 2026)

​➤ Interactive reports that explain how categorical & numerical variables relate to an outcome of interest​​.

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➤ AI models only tell you what is important; EXPLANA also shows you how and why. 

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➤ Automated detection of order-dependent categorical feature changes (A_B differs from B_A); changes assessed over time in different contexts.
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➤ Broad application; designed for microbiome research.​​

Free for academic use:

GitHub

Services & Licensing 

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