Author

A. Di Gioacchino

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Assay:proteomics· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

R. Monasson· 2 shared S. Cocco· 2 shared B. D. Greenbaum· 1 shared J. Procyk· 1 shared J. S. Schreck· 1 shared M. Molari· 1 shared P. Sulc· 1 shared Y. Liu· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 30 mutual co-author links

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2 shared papersEvolutionary Biology

R. Monasson

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2 papers

Recent·Most cited

Deciphering the code of viral-host adaptation through maximum entropy models

A. Di Gioacchino, B. D. Greenbaum, R. Monasson, S. Cocco

This paper introduces a method to decode host and viral family fingerprints in nucleotide usage, showing it outperforms deep learning for classification and enables manipulation of nucleotide composition in viral sequences.

bioRxiv · Oct 28, 2023 · PreprintEvolutionary Biology

Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection

A. Di Gioacchino, J. Procyk, M. Molari, J. S. Schreck, Y. Zhou, Y. Liu, R. Monasson, S. Cocco, P. Sulc

This study uses Restricted Boltzmann Machines to analyze SELEX data for thrombin aptamers, enabling sequence fitness estimation, classification, and novel molecule generation, which is validated experimentally.

bioRxiv · Mar 12, 2022Biophysics