Author

Francisco A. Rodrigues

Universidade de São PauloORCID 0000-0002-0145-5571Unclaimed 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· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Andriana S. L. O. CampanharoiD· 1 shared Caroline L. AlvesiD· 1 shared Christiane ThielemanniD· 1 shared Colm ConnaughtoniD· 1 shared Helena Dasch· 1 shared Kirstin I. Oliveira RosteriD· 1 shared Loriz Francisco SallumiD· 1 shared Margot Mayer· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 22 mutual co-author links

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1 shared paperCell Biology

Andriana S. L. O. CampanharoORCID

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2 papers

Recent·Most cited

Classifying Calcium Imaging Dynamics with Deep Learning: Multi-Frequency Analysis through Quantile-Based Time-Series Network Representations

Caroline L. Alves, Simone Hufgard, Margot Mayer, Helena Dasch, Andriana S. L. O. Campanharo, Loriz Francisco Sallum, Francisco A. Rodrigues, Christiane Thielemann

This paper introduces a deep learning framework for classifying calcium imaging dynamics using quantile-based time-series representations, showing strong performance across different preprocessing strategies and noise conditions.

bioRxiv · Dec 11, 2025 · PreprintCell Biology

Predicting Dengue Fever in Brazilian Cities

Kirstin I. Oliveira Roster, Colm Connaughton, Francisco A. Rodrigues

This study develops a model to predict Dengue Fever cases in Brazilian cities one month ahead, finding that random forests with historical data yield the lowest errors.

bioRxiv · Feb 17, 2021 · PreprintBioinformatics