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Bioinformatics (Oxford, England)|June 24, 2022
Deep learning models for RNA secondary structure prediction (probably) do not generalize across familiesMarcell Szikszai, Michael Wise, Amitava Datta, et al.Nucleic Acids Research|June 7, 2017
Advanced multi-loop algorithms for RNA secondary structure prediction reveal that the simplest model is bestMax Ward, Amitava Datta, Michael Wise, et al.Bioinformatics (Oxford, England)|March 30, 2019
Determining parameters for non-linear models of multi-loop free energy changeMax Ward, Hongying Sun, Amitava Datta, et al.Journal of Molecular Biology|October 20, 2024
memerna: Sparse RNA folding including coaxial stackingEliot Courtney, Amitava Datta, David H Mathews, et al.Biorxiv : the Preprint Server for Biology|November 24, 2025
Deep Learning for RNA Secondary Structure Determination: Gauging Generalizability and Broadening the Scope of Traditional MethodsMarcell Szikszai, Ting-Yuan Wang, Ryan Krueger, et al.RNA (New York, N.Y.)|January 9, 2026
Deep Learning for RNA Secondary Structure Determination: Gauging Generalizability and Broadening the Scope of Traditional MethodsMarcell Szikszai, Ting-Yuan Wang, Ryan Krueger, et al.Scientific Reports|December 10, 2025
Fast Fourier transform is a training-free, ultrafast, highly efficient, and fully interpretable approach for epigenomic data compressionMax Ward, Bac Dao, Amitava Datta, et al.Arxiv|March 31, 2025
Differentiable Folding for Nearest Neighbor Model OptimizationRyan K Krueger, Sharon Aviran, David H Mathews, et al.Bioinformatics (Oxford, England)|June 30, 2023
RNA design via structure-aware multifrontier ensemble optimizationTianshuo Zhou, Ning Dai, Sizhen Li, et al.Physical Review. E|May 16, 2018
Stable target opinion through power-law bias in information exchangeAmitava DattaPageof 26