| Microfluidic chemostat for measuring single cell dynamics in bacteria Z Long, E Nugent, A Javer, P Cicuta, B Sclavi, MC Lagomarsino, ... Lab on a Chip 13 (5), 947-954, 2013 | 142 | 2013 |
| Short-time movement of E. coli chromosomal loci depends on coordinate and subcellular localization A Javer, Z Long, E Nugent, M Grisi, K Siriwatwetchakul, KD Dorfman, ... Nature communications 4 (1), 3003, 2013 | 131 | 2013 |
| Individuality and universality in the growth-division laws of single E. coli cells AS Kennard, M Osella, A Javer, J Grilli, P Nghe, SJ Tans, P Cicuta, ... Physical Review E 93 (1), 012408, 2016 | 92 | 2016 |
| Persistent super-diffusive motion of Escherichia coli chromosomal loci A Javer, NJ Kuwada, Z Long, VG Benza, KD Dorfman, PA Wiggins, ... Nature communications 5 (1), 3854, 2014 | 86 | 2014 |
| An open-source platform for analyzing and sharing worm-behavior data A Javer, M Currie, CW Lee, J Hokanson, K Li, CN Martineau, E Yemini, ... Nature methods 15 (9), 645-646, 2018 | 81 | 2018 |
| Powerful and interpretable behavioural features for quantitative phenotyping of Caenorhabditis elegans A Javer, L Ripoll-Sánchez, AEX Brown Philosophical Transactions of the Royal Society B: Biological Sciences 373 …, 2018 | 52 | 2018 |
| A label-free microfluidic assay to quantitatively study antibiotic diffusion through lipid membranes J Cama, C Chimerel, S Pagliara, A Javer, UF Keyser Lab on a Chip 14 (13), 2303-2308, 2014 | 38 | 2014 |
| Shared behavioral mechanisms underlie C. elegans aggregation and swarming SS Ding, LJ Schumacher, AE Javer, RG Endres, AEX Brown Elife 8, e43318, 2019 | 26 | 2019 |
| Recurrent neural networks with interpretable cells predict and classify worm behaviour K Li, A Javer, EE Keaveny, AEX Brown bioRxiv, 222208, 2017 | 18 | 2017 |
| Identification of C. elegans strains using a fully convolutional neural network on behavioural dynamics A Javer, AEX Brown, I Kokkinos, J Rittscher Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 9 | 2018 |
| DeepScratch: Single-cell based topological metrics of scratch wound assays A Javer, J Rittscher, HZ Sailem Computational and Structural Biotechnology Journal 18, 2501-2509, 2020 | 7 | 2020 |
| Tissue-specific isoforms of the single C. elegans Ryanodine receptor gene unc-68 control specific functions F Marques, S Thapliyal, A Javer, P Shrestha, AEX Brown, DA Glauser PLoS Genetics 16 (10), e1009102, 2020 | 6 | 2020 |
| Persistent super-diffusive motion of Escherichia coli chromosomal loci Nat A Javer, NJ Kuwada, Z Long, VG Benza, KD Dorfman, PA Wiggins, ... Commun 5, 3854, 2014 | 6 | 2014 |
| Longitudinal patient stratification of electronic health records with flexible adjustment for clinical outcomes O Carr, A Javer, P Rockenschaub, O Parsons, R Durichen Machine Learning for Health, 220-238, 2021 | 4 | 2021 |
| Prediction of the onset of cardiovascular diseases from electronic health records using multi-task gated recurrent units F Andreotti, FS Heldt, B Abu-Jamous, M Li, A Javer, O Carr, S Jovanovic, ... arXiv preprint arXiv:2007.08491, 2020 | 3 | 2020 |
| Single-molecule localization microscopy reconstruction using Noise2Noise for super-resolution imaging of actin filaments J Lefebvre, A Javer, M Dmitrieva, J Rittscher, B Lewków, E Allgeyer, ... 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1596-1599, 2020 | 2 | 2020 |
| Machine learning for determining lateral flow device results in asymptomatic population: a diagnostic accuracy study R Banathy, M Branigan, P Lewis-Borman, N Patel, L Lee, TA Fowler, ... | 1 | 2021 |
| Bacterial chromosome dynamics by locus tracking in fluorescence microscopy A Javer, MC Lagomarsino, P Cicuta Chromosome Architecture: Methods and Protocols, 161-173, 2016 | 1 | 2016 |
| Dynamics of Bacterial Chromosomes by Locus Tracking in Fluorescence Microscopy L Mancini, E Crozat, A Javer, MC Lagomarsino, P Cicuta Chromosome Architecture: Methods and Protocols, 155-170, 2022 | | 2022 |
| Compensating trajectory bias for unsupervised patient stratification using adversarial recurrent neural networks A Javer, O Parsons, O Carr, J Baxter, C Diedrich, E Elçi, S Schaper, ... arXiv preprint arXiv:2112.07239, 2021 | | 2021 |
