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Hybrid Machine Learning and Polymer Physics Approach to Investigate 3D Chromatin Structure.

, , , , , , , , и . Euro-Par Workshops, том 11997 из Lecture Notes in Computer Science, стр. 572-582. Springer, (2019)

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Daniela Fiorillo-Buonomano

Luca Tranchini

Luca Rizzini

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Hybrid Machine Learning and Polymer Physics Approach to Investigate 3D Chromatin Structure., , , , , , , , и . Euro-Par Workshops, том 11997 из Lecture Notes in Computer Science, стр. 572-582. Springer, (2019)Analysis of Genome Architecture Mapping Data with a Machine Learning and Polymer-Physics-Based Tool., , , , , , и . Euro-Par Workshops, том 12480 из Lecture Notes in Computer Science, стр. 321-332. Springer, (2020)Efficient computational implementation of polymer physics models to explore chromatin structure., , , , , , , , и . Int. J. Parallel Emergent Distributed Syst., 37 (1): 91-102 (2022)Understanding Chromatin Structure: Efficient Computational Implementation of Polymer Physics Models., , , , , , и . Euro-Par Workshops, том 11339 из Lecture Notes in Computer Science, стр. 680-691. Springer, (2018)SARS-CoV-2 Persistence: Data Summary up to Q2 2020., , , , , , , , , и . Data, 5 (3): 81 (2020)The Role and Impact of Artificial Intelligence on the Future of Dental Radiography - A Mini-Review., , , , , , и . Adv. Artif. Intell. Mach. Learn., 3 (4): 1720-1727 (2023)