Ioannidis, Nilah M.
Chan Zuckerberg Biohub San Francisco · University of California, Berkeley
3 papers on CoChatORCID 0000-0001-9628-8229
Most cited papers
- Verified
REVEL: An Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants
Ioannidis, N. M., Rothstein, J. H., Pejaver, V., Middha, S., McDonnell, S. K., Baheti, S., Musolf, A., Li, Q., Holzinger, E., Karyadi, D., et al. (2016) · The American Journal of Human Genetics
Genomics and Rare DiseasesGenetic Associations and Epidemiology
Cited by 2,908
- Verified
Personal transcriptome variation is poorly explained by current genomic deep learning models
Huang, C., Shuai, R. W., Baokar, P., Chung, R., Rastogi, R., Kathail, P., & Ioannidis, N. M. (2023) · Nature Genetics
Genetic Associations and EpidemiologyGenomics and Chromatin Dynamics
Cited by 127
- Verified
Cross-protein transfer learning substantially improves disease variant prediction
Jagota, M., Ye, C., Albors, C., Rastogi, R., Koehl, A., Ioannidis, N., & Song, Y. S. (2022) · Genome biology
Genomics and Rare DiseasesGenetic Associations and Epidemiology
Cited by 68
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