| Assessing single-cell transcriptomic variability through density-preserving data visualization A Narayan, B Berger, H Cho Nature biotechnology 39 (6), 765-774, 2021 | 97 | 2021 |
| Density-preserving data visualization unveils dynamic patterns of single-cell transcriptomic variability A Narayan, B Berger, H Cho bioRxiv, 2020.05. 12.077776, 2020 | 37 | 2020 |
| Schema: metric learning enables interpretable synthesis of heterogeneous single-cell modalities R Singh, BL Hie, A Narayan, B Berger Genome biology 22 (1), 131, 2021 | 32 | 2021 |
| Schema: A general framework for integrating heterogeneous single-cell modalities R Singh, A Narayan, B Hie, B Berger BioRxiv, 834549, 2019 | 4 | 2019 |
| Current regulations will not protect patient privacy in the age of machine learning A Narayan MIT Science Policy Review 1, 3-9, 2020 | 1 | 2020 |
| Metric learning enables synthesis of heterogeneous single-cell modalities R Singh, B Hie, A Narayan, B Berger bioRxiv, 834549, 2020 | | 2020 |
| Efficient routing for cost effective scale-out data architectures A Narayan, V Marković, N Postawa, A King, A Morales, KA Kumar, ... 2016 IEEE 24th International Symposium on Modeling, Analysis and Simulation …, 2016 | | 2016 |
