Jennifer Listgarten

Loop profile ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 19

Top Topics

Machine Learning

Neuropathic Pain

Artificial Intelligence

Top Venues

Nature biotechnology

Science advances

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

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

Publications

Brian Yao, Chloe Hsu, Gal Goldner, Yael Michaeli, Yuval Ebenstein, Jennifer Listgarten
Effective training of nanopore callers for epigenetic marks with limited labelled data. Open biology 14 (6) (2024)
Danqing Zhu, David H Brookes, Akosua Busia, Ana Carneiro, Clara Fannjiang, Galina Popova, David Shin, Kevin C Donohue, Li F Lin, Zachary M Miller, Evan R Williams, Edward F Chang, Tomasz J Nowakowski, Jennifer Listgarten, David V Schaffer
Optimal trade-off control in machine learning-based library design, with application to adeno-associated virus (AAV) for gene therapy. Science advances 10 (4) (2024)
Jennifer Listgarten
The perpetual motion machine of AI-generated data and the distraction of ChatGPT as a 'scientist'. Nature biotechnology 42 (3) (2024)
Jennifer Listgarten
The perpetual motion machine of AI-generated data and the distraction of ChatGPT as a 'scientist'. Nature biotechnology (2024)
Chloe Hsu, Clara Fannjiang, Jennifer Listgarten
Generative models for protein structures and sequences. Nature biotechnology 42 (2) (2024)
Brian Yao, Chloe Hsu, Gal Goldner, Yael Michaeli, Yuval Ebenstein, Jennifer Listgarten
Effective training of nanopore callers for epigenetic marks with limited labelled data. Open biology 14 (6) (2024)
Jennifer Listgarten
The perpetual motion machine of AI-generated data and the distraction of ChatGPT as a 'scientist'. Nature biotechnology 42 (3) (2024)
Chloe Hsu, Clara Fannjiang, Jennifer Listgarten
Generative models for protein structures and sequences. Nature biotechnology 42 (2) (2024)
Danqing Zhu, David H Brookes, Akosua Busia, Ana Carneiro, Clara Fannjiang, Galina Popova, David Shin, Kevin C Donohue, Li F Lin, Zachary M Miller, Evan R Williams, Edward F Chang, Tomasz J Nowakowski, Jennifer Listgarten, David V Schaffer
Optimal trade-off control in machine learning-based library design, with application to adeno-associated virus (AAV) for gene therapy. Science advances 10 (4) (2024)
Danqing Zhu, David H Brookes, Akosua Busia, Ana Carneiro, Clara Fannjiang, Galina Popova, David Shin, Kevin C Donohue, Li F Lin, Zachary M Miller, Evan R Williams, Edward F Chang, Tomasz J Nowakowski, Jennifer Listgarten, David V Schaffer
Optimal trade-off control in machine learning-based library design, with application to adeno-associated virus (AAV) for gene therapy. Science advances 10 (4) (2024)
Brian Yao, Chloe Hsu, Gal Goldner, Yael Michaeli, Yuval Ebenstein, Jennifer Listgarten
Effective training of nanopore callers for epigenetic marks with limited labelled data. Open biology 14 (6) (2024)
Danqing Zhu, David H Brookes, Akosua Busia, Ana Carneiro, Clara Fannjiang, Galina Popova, David Shin, Kevin C Donohue, Li F Lin, Zachary M Miller, Evan R Williams, Edward F Chang, Tomasz J Nowakowski, Jennifer Listgarten, David V Schaffer
Optimal trade-off control in machine learning-based library design, with application to adeno-associated virus (AAV) for gene therapy. Science advances 10 (4) (2024)
Clara Fannjiang, Jennifer Listgarten
Is Novelty Predictable? Cold Spring Harbor perspectives in biology (2023)
David H Brookes, Amirali Aghazadeh, Jennifer Listgarten
On the sparsity of fitness functions and implications for learning. Proceedings of the National Academy of Sciences of the United States of America 119 (1) (2022)
Chloe Hsu, Hunter M Nisonoff, Clara Fannjiang, Jennifer Listgarten
Learning protein fitness models from evolutionary and assay-labeled data. Nature biotechnology 40 (7) (2022)
Amirali Aghazadeh, Hunter Nisonoff, Orhan Ocal, David H Brookes, Yijie Huang, O Ozan Koyluoglu, Jennifer Listgarten, Kannan Ramchandran
Epistatic Net allows the sparse spectral regularization of deep neural networks for inferring fitness functions. Nature communications 12 (1) (2021)
Petra Schneider, W Patrick Walters, Alleyn T Plowright, Norman Sieroka, Jennifer Listgarten, Robert A Goodnow, Jasmin Fisher, Johanna M Jansen, José S Duca, Thomas S Rush, Matthias Zentgraf, John Edward Hill, Elizabeth Krutoholow, Matthias Kohler, Jeff Blaney, Kimito Funatsu, Chris Luebkemann, Gisbert Schneider
Rethinking drug design in the artificial intelligence era. Nature reviews. Drug discovery 19 (5) (2019)
Jennifer Listgarten, Michael Weinstein, Benjamin P Kleinstiver, Alexander A Sousa, J Keith Joung, Jake Crawford, Kevin Gao, Luong Hoang, Melih Elibol, John G Doench, Nicolo Fusi
Prediction of off-target activities for the end-to-end design of CRISPR guide RNAs. Nature biomedical engineering 2 (1) (2018)
Fadi J Najm, Christine Strand, Katherine F Donovan, Mudra Hegde, Kendall R Sanson, Emma W Vaimberg, Meagan E Sullender, Ella Hartenian, Zohra Kalani, Nicolo Fusi, Jennifer Listgarten, Scott T Younger, Bradley E Bernstein, David E Root, John G Doench
Orthologous CRISPR-Cas9 enzymes for combinatorial genetic screens. Nature biotechnology 36 (2) (2017)