@george-austin.bsky.social
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reposted by
Tal Korem
5 months ago
Our paper explaining why Gihawi et al. failed to prove an error in the normalization used by the 2020 cancer
#microbiome
analysis now out as a Matters Arising in
@asm.org
#mSystems
(w/
@george-austin.bsky.social
) 🖥️ 🧬 Thread explaining the key points below.
journals.asm.org/doi/10.1128/...
add a skeleton here at some point
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reposted by
Tal Korem
6 months ago
Happy to share DEBIAS-M, our new method for domain adaptation and bias correction in
#microbiome
data.🧬🖥️ Microbiome data is very variable, with substantial study- and batch-effects. DEBIAS-M corrects these, enabling robust and generalizable analyses. A quick thread:
www.nature.com/articles/s41...
loading . . .
Processing-bias correction with DEBIAS-M improves cross-study generalization of microbiome-based prediction models - Nature Microbiology
DEBIAS-M corrects technical variability in microbiome data in a manner both interpretable and suitable for machine learning. In extensive benchmarks, DEBIAS-M facilitates robust analyses that generali...
https://www.nature.com/articles/s41564-025-01954-4
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