| Opportunities and obstacles for deep learning in biology and medicine T Ching, DS Himmelstein, BK Beaulieu-Jones, AA Kalinin, BT Do, ... Journal of the royal society interface 15 (141), 20170387, 2018 | 1958 | 2018 |
| Associations between blood type and COVID-19 infection, intubation, and death M Zietz, J Zucker, NP Tatonetti Nature communications 11 (1), 5761, 2020 | 576 | 2020 |
| Shotgun transcriptome, spatial omics, and isothermal profiling of SARS-CoV-2 infection reveals unique host responses, viral diversification, and drug interactions D Butler, C Mozsary, C Meydan, J Foox, J Rosiene, A Shaiber, D Danko, ... Nature communications 12 (1), 1660, 2021 | 224* | 2021 |
| Compressing gene expression data using multiple latent space dimensionalities learns complementary biological representations GP Way, M Zietz, V Rubinetti, DS Himmelstein, CS Greene Genome biology 21, 1-27, 2020 | 73* | 2020 |
| The probability of edge existence due to node degree: a baseline for network-based predictions M Zietz, DS Himmelstein, K Kloster, C Williams, MW Nagle, CS Greene GigaScience 13, giae001, 2024 | 5 | 2024 |
| Hetnet connectivity search provides rapid insights into how biomedical entities are related DS Himmelstein, M Zietz, V Rubinetti, K Kloster, BJ Heil, F Alquaddoomi, ... Gigascience 12, giad047, 2023 | 2 | 2023 |
| Estimating the heritability of SARS-CoV-2 susceptibility and COVID-19 severity KLR Brown, V Ramlall, M Zietz, U Gisladottir, NP Tatonetti Nature Communications 15 (1), 367, 2024 | 1 | 2024 |
| Phenotype projections accelerate biobank-scale GWAS M Zietz, U Gisladottir, KLR Brown, NP Tatonetti bioRxiv, 2023.11. 20.567948, 2023 | | 2023 |
Nicholas P TatonettiProfessor and Vice Chair of Computational Biomedicine, Cedars-Sinai Medical CenterVerified email at cshs.org
