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Negative / Null Result Report· cited by 36

Proportion-based normalizations outperform compositional data transformations in machine learning applications

Aaron Yerke; Daisy Fry Brumit; Anthony A. Fodor · 2024 · Microbiome

WASTE classifies this as Negative / Null Result Report · AI classification, approximate

The study found no significant effect — useful as a negative control or null benchmark for your own design.

Abstract (excerpt)

Abstract Background Normalization, as a pre-processing step, can significantly affect the resolution of machine learning analysis for microbiome studies. There are countless options for normalization scheme selection. In this study, we…

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Metadata source: Crossref · DOI 10.1186/s40168-023-01747-z