| A blood atlas of COVID-19 defines hallmarks of disease severity and specificity DJ Ahern, Z Ai, M Ainsworth, C Allan, A Allcock, B Angus, MA Ansari, ... Cell 185 (5), 916-938. e58, 2022 | 243 | 2022 |
| Statistical optimal transport via factored couplings A Forrow, JC Hütter, M Nitzan, P Rigollet, G Schiebinger, J Weed The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 88 | 2019 |
| LineageOT is a unified framework for lineage tracing and trajectory inference A Forrow, G Schiebinger Nature communications 12 (1), 4940, 2021 | 75 | 2021 |
| Inverse design of discrete mechanical metamaterials H Ronellenfitsch, N Stoop, J Yu, A Forrow, J Dunkel Physical Review Materials 3 (9), 095201, 2019 | 54 | 2019 |
| Functional control of network dynamics using designed Laplacian spectra A Forrow, FG Woodhouse, J Dunkel Physical Review X 8 (4), 041043, 2018 | 34 | 2018 |
| Stochastic cycle selection in active flow networks FG Woodhouse, A Forrow, JB Fawcett, J Dunkel Proceedings of the national academy of sciences 113 (29), 8200-8205, 2016 | 30 | 2016 |
| Warning’s second theorem with restricted variables PL Clark, A Forrow, JR Schmitt Combinatorica 37, 397-417, 2017 | 26 | 2017 |
| Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19 CP Kotanidis, C Xie, D Alexander, JCL Rodrigues, K Burnham, A Mentzer, ... The Lancet Digital Health 4 (10), e705-e716, 2022 | 22 | 2022 |
| Learning dynamical information from static protein and sequencing data P Pearce, FG Woodhouse, A Forrow, A Kelly, H Kusumaatmaja, J Dunkel Nature communications 10 (1), 5368, 2019 | 19 | 2019 |
| Variable-phase -matrix calculations for asymmetric potentials and dielectrics A Forrow, N Graham Physical Review A—Atomic, Molecular, and Optical Physics 86 (6), 062715, 2012 | 12 | 2012 |
| Mode selection in compressible active flow networks A Forrow, FG Woodhouse, J Dunkel Physical Review Letters 119 (2), 028102, 2017 | 11 | 2017 |
| Direct specification of lymphatic endothelium from non-venous angioblasts IE Lupu, N Kirschnick, S Weischer, I Martinez-Corral, A Forrow, I Lahmann, ... BioRxiv, 2022.05. 11.491403, 2022 | 8 | 2022 |
| Trajectory inference for a branching SDE model of cell differentiation E Ventre, A Forrow, N Gadhiwala, P Chakraborty, O Angel, G Schiebinger arXiv preprint arXiv:2307.07687, 2023 | 4 | 2023 |
| Time-and lineage-resolved transcriptional profiling uncovers gene expression programs and clonal relationships that underlie human T lineage specification YS Michaels, MC Major, B Bonham-Carter, J Zhang, T Heydari, JM Edgar, ... bioRxiv, 2023.10. 06.561277, 2023 | 3 | 2023 |
| Approaching the minimum number of clues Sudoku problem via the polynomial method A Forrow, JR Schmitt submitted, 2013 | 3 | 2013 |
| Measuring the accuracy of likelihood-free inference A Forrow, RE Baker arXiv preprint arXiv:2112.08096, 2021 | 2 | 2021 |
| Consistent diffusion matrix estimation from population time series A Forrow arXiv preprint arXiv:2408.14408, 2024 | 1 | 2024 |
| Direct specification of lymphatic endothelium from mesenchymal progenitors IE Lupu, DE Grainger, N Kirschnick, S Weischer, E Zhao, I Martinez-Corral, ... Nature Cardiovascular Research, 1-19, 2025 | | 2025 |
| Tracking the gene expression programs and clonal relationships that underlie mast, myeloid, and T lineage specification from stem cells YS Michaels, MC Major, B Bonham-Carter, J Zhang, T Heydari, JM Edgar, ... Cell Systems 15 (12), 1245-1263. e10, 2024 | | 2024 |
| Learning Dynamical Information from Static Protein and Sequencing Data P Pearce, FG Woodhouse, A Forrow, H Kusumaatmaja, J Dunkel Biophysical Journal 118 (3), 303a, 2020 | | 2020 |
