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Michael Zietz
Michael Zietz
PhD candidate, Columbia University
Dirección de correo verificada de cumc.columbia.edu
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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
19772018
Associations between blood type and COVID-19 infection, intubation, and death
M Zietz, J Zucker, NP Tatonetti
Nature communications 11 (1), 5761, 2020
5772020
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
52024
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
22024
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
22023
Phenotype projections accelerate biobank-scale GWAS
M Zietz, U Gisladottir, KLR Brown, NP Tatonetti
bioRxiv, 2023.11. 20.567948, 2023
2023
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Artículos 1–8