Kyle Swanson

ORCID

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Venues

Nature methods

Bioinformatics (Oxford, England)

Journal of chemical information and modeling

bioRxiv : the preprint server for biology

Massachusetts Institute of Technology (BSC)

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

Education History

Massachusetts Institute of Technology

United States

BSC :: Computer Science and Mathematics

Publications

Yanay Rosen, Maria Brbic, Yusuf Roohani, Kyle Swanson, Ziang Li, Jure Leskovec
Toward universal cell embeddings: integrating single-cell RNA-seq datasets across species with SATURN. Nature methods 21 (8) (2024)
Kyle Swanson, Parker Walther, Jeremy Leitz, Souhrid Mukherjee, Joseph C Wu, Rabindra V Shivnaraine, James Y Zou
ADMET-AI: a machine learning ADMET platform for evaluation of large-scale chemical libraries. Bioinformatics (Oxford, England) 40 (7) (2024)
Kyle Swanson, Parker Walther, Jeremy Leitz, Souhrid Mukherjee, Joseph C Wu, Rabindra V Shivnaraine, James Y Zou
ADMET-AI: a machine learning ADMET platform for evaluation of large-scale chemical libraries. Bioinformatics (Oxford, England) 40 (7) (2024)
Yanay Rosen, Maria Brbic, Yusuf Roohani, Kyle Swanson, Ziang Li, Jure Leskovec
Toward universal cell embeddings: integrating single-cell RNA-seq datasets across species with SATURN. Nature methods (2024)
Kyle Swanson, Parker Walther, Jeremy Leitz, Souhrid Mukherjee, Joseph C Wu, Rabindra V Shivnaraine, James Y Zou
ADMET-AI: a machine learning ADMET platform for evaluation of large-scale chemical libraries. Bioinformatics (Oxford, England) 40 (7) (2024)
Elana Simon, Kyle Swanson, James Y Zou
Language models for biological research: a primer. Nature methods 21 (8) (2024)
Yanay Rosen, Maria Brbic, Yusuf Roohani, Kyle Swanson, Ziang Li, Jure Leskovec
Toward universal cell embeddings: integrating single-cell RNA-seq datasets across species with SATURN. Nature methods 21 (8) (2024)
Yanay Rosen, Maria Brbic, Yusuf Roohani, Kyle Swanson, Ziang Li, Jure Leskovec
Toward universal cell embeddings: integrating single-cell RNA-seq datasets across species with SATURN. Nature methods 21 (8) (2024)
Yanay Rosen, Maria Brbic, Yusuf Roohani, Kyle Swanson, Ziang Li, Jure Leskovec
Toward universal cell embeddings: integrating single-cell RNA-seq datasets across species with SATURN. Nature methods 21 (8) (2024)
Kyle Swanson, Parker Walther, Jeremy Leitz, Souhrid Mukherjee, Joseph C Wu, Rabindra V Shivnaraine, James Y Zou
ADMET-AI: a machine learning ADMET platform for evaluation of large-scale chemical libraries. Bioinformatics (Oxford, England) 40 (7) (2024)
Yanay Rosen, Maria Brbic, Yusuf Roohani, Kyle Swanson, Ziang Li, Jure Leskovec
Toward universal cell embeddings: integrating single-cell RNA-seq datasets across species with SATURN. Nature methods (2024)
Elana Simon, Kyle Swanson, James Y Zou
Language models for biological research: a primer. Nature methods 21 (8) (2024)
Eric Wu, Alexandro E Trevino, Zhenqin Wu, Kyle Swanson, Honesty J Kim, H Blaize D'Angio, Ryan Preska, Aaron E Chiou, Gregory W Charville, Piero Dalerba, Umamaheswar Duvvuri, Alexander D Colevas, Jelena Levi, Nikita Bedi, Serena Chang, John B Sunwoo, Ann Marie Egloff, Ravindra Uppaluri, Aaron T Mayer, James Y Zou
7-UP: Generating in silico CODEX from a small set of immunofluorescence markers. PNAS nexus 2 (6) (2023)
Kyle Swanson, Parker Walther, Jeremy Leitz, Souhrid Mukherjee, Joseph C Wu, Rabindra V Shivnaraine, James Y Zou
ADMET-AI: A machine learning ADMET platform for evaluation of large-scale chemical libraries. bioRxiv : the preprint server for biology (2023)
Kyle Swanson, Parker Walther, Jeremy Leitz, Souhrid Mukherjee, Joseph C Wu, Rabindra V Shivnaraine, James Y Zou
ADMET-AI: A machine learning ADMET platform for evaluation of large-scale chemical libraries. bioRxiv : the preprint server for biology (2023)
Gary Liu, Denise B Catacutan, Khushi Rathod, Kyle Swanson, Wengong Jin, Jody C Mohammed, Anush Chiappino-Pepe, Saad A Syed, Meghan Fragis, Kenneth Rachwalski, Jakob Magolan, Michael G Surette, Brian K Coombes, Tommi S Jaakkola, Regina Barzilay, James J Collins, Jonathan M Stokes
Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii. Nature chemical biology (2023)
Zhenqin Wu, Alexandro E Trevino, Eric Wu, Kyle Swanson, Honesty J Kim, H Blaize D'Angio, Ryan Preska, Gregory W Charville, Piero D Dalerba, Ann Marie Egloff, Ravindra Uppaluri, Umamaheswar Duvvuri, Aaron T Mayer, James Y Zou
Graph deep learning for the characterization of tumour microenvironments from spatial protein profiles in tissue specimens. Nature biomedical engineering (2022)
Lior Hirschfeld, Kyle Swanson, Kevin Yang, Regina Barzilay, Connor W Coley
Uncertainty Quantification Using Neural Networks for Molecular Property Prediction. Journal of chemical information and modeling 60 (8) (2020)
Kevin Yang, Kyle Swanson, Wengong Jin, Connor W Coley, Philipp Eiden, Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea, Andrew Palmer, Volker Settels, Tommi Jaakkola, Klavs F Jensen, Regina Barzilay
Correction to Analyzing Learned Molecular Representations for Property Prediction. Journal of chemical information and modeling 59 (12) (2019)
Kevin Yang, Kyle Swanson, Wengong Jin, Connor W Coley, Philipp Eiden, Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea, Andrew Palmer, Volker Settels, Tommi Jaakkola, Klavs F Jensen, Regina Barzilay
Analyzing Learned Molecular Representations for Property Prediction. Journal of chemical information and modeling 59 (8) (2019)

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Publication Activity (10 Years)

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Kyle Swanson