Author

M. Tony Ewing

ORCID 0009-0005-1550-1718Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Assay:imaging· 1 Assay:long-read sequencing· 1 Approach:machine learning (classical)· 1

Activity by Year

2026-2026 · peak 2/yr

2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJun 29, 2026

Metrics for Distinguishing Biological and Interventional Change in AI Models

The paper introduces two metrics to distinguish biological and interventional changes in longitudinal data using ADNI cognitive measurements.

DOI 10.64898/2026.06.24.733252

humanlong-read sequencing

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJun 18, 2026

Metrics for Evaluating Biological AI Model Predictive Accuracy at the Data-Substrate Level

The paper introduces metrics to evaluate predictive accuracy of biological AI models based on data-substrate properties, showing model accuracy correlates with data resolvability.

1 citation

𝕏 PostBluesky