Author

César Marín

Universidad Santo TomásORCID 0000-0002-2529-8929Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Organism:fungi (other)· 2 Assay:metagenomics· 2 Approach:benchmark study· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Aaron O’BrieniD· 2 shared Pilar ParadaiD· 2 shared Auguste GardetteiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Aaron O’BrienORCID

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2 papers

Recent·Most cited

Classical baselines outperform released deep-learning ITS classifiers, which collapse on ITS2 where predictions follow the flanking regions

Aaron O’Brien, Auguste Gardette, César Marín, Pilar Parada

MycoAI ITS classifiers trail alignment, SINTAX and HiTaC on full-length ITS and drop to 28.3% and 18.5% seen-genus family accuracy on ITS2, as predictions track flanking regions.

bioRxiv · Sep 10, 2026 · PreprintBioinformatics✦ In-depth digest

A calibrated novelty flag for fungal ITS metabarcoding: choosing the error rate at which sequences are declared new

Aaron O’Brien, César Marín, Pilar Parada

The paper introduces a calibrated novelty flag for fungal ITS metabarcoding that provides a user-chosen error rate for declaring sequences novel, evaluated across multiple datasets and scores.

bioRxiv · Aug 5, 2026 · PreprintBioinformatics