Gherman E Novakovsky (German E Novakovsky, Gherman Novakovsky)

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 9

Top Topics

Regulatory T Cells

Top Venues

Proceedings of the National Academy of Sciences of the United States of America

Science translational medicine

Nature reviews. Genetics

This page only lists publications with an associated author ORCID identifier.

Publications

Gherman E Novakovsky, Oriol Fornes, Manu Saraswat, Sara Mostafavi, Wyeth W Wasserman
ExplaiNN: interpretable and transparent neural networks for genomics. Genome biology 24 (1) (2023)
Gherman E Novakovsky, Oriol Fornes, Manu Saraswat, Sara Mostafavi, Wyeth W Wasserman
ExplaiNN: interpretable and transparent neural networks for genomics. Genome biology 24 (1) (2023)
Caroline Lamarche, Kirsten A Ward-Hartstonge, Tian Mi, David T S Lin, Qing Huang, Andrew Brown, Karlie Edwards, Gherman E Novakovsky, Christopher N Qi, Michael S Kobor, Caitlin C Zebley, Evan W Weber, Crystal L Mackall, Megan K Levings
Tonic-signaling chimeric antigen receptors drive human regulatory T cell exhaustion. Proceedings of the National Academy of Sciences of the United States of America 120 (14) (2023)
Caroline Lamarche, Kirsten A Ward-Hartstonge, Tian Mi, David T S Lin, Qing Huang, Andrew Brown, Karlie Edwards, Gherman E Novakovsky, Christopher N Qi, Michael S Kobor, Caitlin C Zebley, Evan W Weber, Crystal L Mackall, Megan K Levings
Tonic-signaling chimeric antigen receptors drive human regulatory T cell exhaustion. Proceedings of the National Academy of Sciences of the United States of America 120 (14) (2023)
Gherman E Novakovsky, Oriol Fornes, Manu Saraswat, Sara Mostafavi, Wyeth W Wasserman
ExplaiNN: interpretable and transparent neural networks for genomics. Genome biology 24 (1) (2023)
Gherman E Novakovsky, Oriol Fornes, Manu Saraswat, Sara Mostafavi, Wyeth W Wasserman
ExplaiNN: interpretable and transparent neural networks for genomics. Genome biology 24 (1) (2023)
Gherman E Novakovsky, Nick Dexter, Maxwell W Libbrecht, Wyeth W Wasserman, Sara Mostafavi
Obtaining genetics insights from deep learning via explainable artificial intelligence. Nature reviews. Genetics (2022)
Gherman E Novakovsky, Manu Saraswat, Oriol Fornes, Sara Mostafavi, Wyeth W Wasserman
Biologically relevant transfer learning improves transcription factor binding prediction. Genome biology 22 (1) (2021)
Nicholas A J Dawson, Isaac Rosado-Sánchez, Gherman E Novakovsky, Vivian C W Fung, Qing Huang, Emma McIver, Grace Sun, Jana Gillies, Madeleine Speck, Paul C Orban, Majid Mojibian, Megan K Levings
Functional effects of chimeric antigen receptor co-receptor signaling domains in human regulatory T cells. Science translational medicine 12 (557) (2021)