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Iscience|June 3, 2024
Unraveling biochemical spatial patterns: Machine learning approaches to the inverse problem of stationary Turing patternsAntonio Matas-Gil, Robert G EndresElife|April 20, 2026
Taking the biology seriously makes models betterAntonio Matas-Gil, Andreas Tiffeau-MayerProceedings of the National Academy of Sciences of the United States of America|June 4, 2026
How nature discovers rare Turing islands: Exploration by common limit cyclesSeyoon Kim, Antonio Matas-Gil, Robert G EndresScientific Reports|January 23, 2025
Optimal network sizes for most robust Turing patternsHazlam S Ahmad Shaberi, Aibek Kappassov, Antonio Matas-Gil, et al.Pageof 1