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 | 161 | 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 | 75 | 2019 |
LineageOT is a unified framework for lineage tracing and trajectory inference A Forrow, G Schiebinger Nature communications 12 (1), 4940, 2021 | 47* | 2021 |
Inverse design of discrete mechanical metamaterials H Ronellenfitsch, N Stoop, J Yu, A Forrow, J Dunkel Physical Review Materials 3 (9), 095201, 2019 | 45 | 2019 |
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 | 29 | 2016 |
Functional control of network dynamics using designed Laplacian spectra A Forrow, FG Woodhouse, J Dunkel Physical Review X 8 (4), 041043, 2018 | 26 | 2018 |
Warning’s second theorem with restricted variables PL Clark, A Forrow, JR Schmitt Combinatorica 37, 397-417, 2017 | 25 | 2017 |
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 | 18 | 2019 |
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 | 14 | 2022 |
Variable-phase -matrix calculations for asymmetric potentials and dielectrics A Forrow, N Graham Physical Review A 86 (6), 062715, 2012 | 13 | 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 | 6 | 2022 |
Measuring the accuracy of likelihood-free inference A Forrow, RE Baker arXiv preprint arXiv:2112.08096, 2021 | 2 | 2021 |
Approaching the minimum number of clues Sudoku problem via the polynomial method A Forrow, JR Schmitt submitted, 2013 | 2 | 2013 |
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 | 1 | 2023 |
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 | | 2023 |
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 |
Controlling Complex Network Dynamics Through Designer Band Gaps A Forrow, F Woodhouse, J Dunkel APS March Meeting Abstracts 2018, V47. 011, 2018 | | 2018 |
Active flows and networks A Forrow Massachusetts Institute of Technology, 2018 | | 2018 |
Engineering disordered phononic metamaterials H Ronellenfitsch, N Stoop, A Forrow, J Dunkel APS March Meeting Abstracts 2018, E48. 005, 2018 | | 2018 |