| Sparse learning of stochastic dynamical equations L Boninsegna, F Nüske, C Clementi The Journal of chemical physics 148 (24), 2018 | 235 | 2018 |
| Investigating molecular kinetics by variationally optimized diffusion maps L Boninsegna, G Gobbo, F Noé, C Clementi Journal of chemical theory and computation 11 (12), 5947-5960, 2015 | 72 | 2015 |
| Coarse-graining molecular systems by spectral matching F Nüske, L Boninsegna, C Clementi The Journal of chemical physics 151 (4), 2019 | 31 | 2019 |
| A data-driven perspective on the hierarchical assembly of molecular structures L Boninsegna, R Banisch, C Clementi Journal of Chemical Theory and Computation 14 (1), 453-460, 2018 | 29 | 2018 |
| Rapid calculation of molecular kinetics using compressed sensing F Litzinger, L Boninsegna, H Wu, F Nüske, R Patel, R Baraniuk, F Noé, ... Journal of Chemical Theory and Computation 14 (5), 2771-2783, 2018 | 28 | 2018 |
| Integrative genome modeling platform reveals essentiality of rare contact events in 3D genome organizations L Boninsegna, A Yildirim, G Polles, Y Zhan, SA Quinodoz, EH Finn, ... Nature methods 19 (8), 938-949, 2022 | 24 | 2022 |
| Spectral properties of effective dynamics from conditional expectations F Nüske, P Koltai, L Boninsegna, C Clementi Entropy 23 (2), 134, 2021 | 14 | 2021 |
| Uncovering the principles of genome folding by 3D chromatin modeling A Yildirim, L Boninsegna, Y Zhan, F Alber Cold Spring Harbor Perspectives in Biology 14 (6), a039693, 2022 | 11 | 2022 |
| Integrative approaches in genome structure analysis L Boninsegna, A Yildirim, Y Zhan, F Alber Structure 30 (1), 24-36, 2022 | 9 | 2022 |
| Quantum charge transport and conformational dynamics of macromolecules L Boninsegna, P Faccioli The Journal of Chemical Physics 136 (21), 2012 | 8 | 2012 |
| Computational methods for analysing multiscale 3D genome organization Y Zhang, L Boninsegna, M Yang, T Misteli, F Alber, J Ma Nature Reviews Genetics 25 (2), 123-141, 2024 | 6 | 2024 |
| Conformational analysis of chromosome structures reveals vital role of chromosome morphology in gene function Y Zhan, A Yildirim, L Boninsegna, F Alber bioRxiv, 2023.02. 18.528138, 2023 | 4 | 2023 |
| Population-based structure modeling reveals key roles of nuclear microenviroment in gene functions A Yildirim, N Hua, L Boninsegna, G Polles, K Gong, S Hao, W Li, XJ Zhou, ... | 4 | 2021 |
| Mapping the nuclear microenvironment of genes at a genome-wide scale A Yildirim, N Hua, L Boninsegna, G Polles, K Gong, S Hao, W Li, XJ Zhou, ... BioRxiv, 2021.07. 11.451976, 2021 | 4 | 2021 |
| Evaluating the role of the nuclear microenvironment in gene function by population-based modeling A Yildirim, N Hua, L Boninsegna, Y Zhan, G Polles, K Gong, S Hao, W Li, ... Nature Structural & Molecular Biology 30 (8), 1193-1206, 2023 | 2 | 2023 |
| Reconstructing whole genome structures using a multi-modal data integration approach L Boninsegna, F Alber NATURE METHODS 19 (8), 934-935, 2022 | | 2022 |
| Research briefing L Boninsegna, F Alber | | 2022 |
| Deep Spectral Coarse Graining: Learning Simple, Dynamically Consistent Protein Models N Charron, F Nüske, J Wang, L Boninsegna, A Patel, C Clementi Bulletin of the American Physical Society 65, 2020 | | 2020 |
| A Data-Driven Perspective on Molecular Coarse-Graining L Boninsegna Rice University, 2019 | | 2019 |
| Supplementary Information: Integrative Genome Modeling Platform reveals essentiality of L Boninsegna, A Yildirim, G Polles, SA Quinodoz, E Finn, M Guttman, ... | | |
