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Deep in the Bowel: Highly Interpretable Neural Encoder-Decoder Predicts Gut Metabolites from Gut Microbiome: Supplemental Data

<p>This upload contains the supplemental data to the manuscript titled, &quot;Deep in the Bowel: Highly Interpretable Neural Encoder-Decoder Predicts Gut Metabolites from Gut Microbiome&quot;. It contains the transformed data used to train the model (*-grouped-clr.csv), the latent feature space (latent_z.txt), and the differential abundance results (*DA*.csv).</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0