Kyle Swanson

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Regina BarzilayProfessor of EECS, MITAdresse e-mail validée de csail.mit.edu
Tommi JaakkolaMITAdresse e-mail validée de csail.mit.edu
Kevin YangUC BerkeleyAdresse e-mail validée de berkeley.edu
Wengong JinNortheastern UniversityAdresse e-mail validée de csail.mit.edu
James ZouStanford UniversityAdresse e-mail validée de stanford.edu
Jonathan StokesAssistant Professor, Biochemistry & Biomedical Sciences, McMaster UniversityAdresse e-mail validée de mcmaster.ca
Connor W. ColeyMassachusetts Institute of TechnologyAdresse e-mail validée de mit.edu
Klavs F.JensenChemical Engineering, MITAdresse e-mail validée de mit.edu
Angel Guzman-PerezHead of Drug Discovery, Scorpion TherapeuticsAdresse e-mail validée de scorpiontx.com
James J CollinsMIT; Wyss Institute, Harvard; Broad Institute of MIT & HarvardAdresse e-mail validée de mit.edu
Anush Chiappino-PepePostdoctoral fellow, Church Lab, Harvard Medical School | Stephanopoulos Lab, MITAdresse e-mail validée de hms.harvard.edu
George ChurchHarvard Medical SchoolAdresse e-mail validée de harvard.edu
Andrew D PalmerResearch Scientist, GSKAdresse e-mail validée de gsk.com
Miriam MatheaBASF SEAdresse e-mail validée de basf.com
Adam YalaUC Berkeley and UCSFAdresse e-mail validée de berkeley.edu
Tal SchusterGoogle DeepMindAdresse e-mail validée de google.com
Tao LeiGoogleAdresse e-mail validée de google.com
Shubhendu TrivediMassachusetts Institute of TechnologyAdresse e-mail validée de csail.mit.edu
Risi KondorAssociate Professor, The University of ChicagoAdresse e-mail validée de cs.uchicago.edu
Jeremy WohlwendMIT CSAILAdresse e-mail validée de csail.mit.edu

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Kyle Swanson

Stanford University

Adresse e-mail validée de stanford.edu - Page d'accueil

Machine Learning and Computational Biology


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
A deep learning approach to antibiotic discovery JM Stokes, K Yang, K Swanson, W Jin, A Cubillos-Ruiz, NM Donghia, ... Cell 180 (4), 688-702. e13, 2020	2042	2020
Analyzing learned molecular representations for property prediction K Yang, K Swanson, W Jin, C Coley, P Eiden, H Gao, A Guzman-Perez, ... Journal of chemical information and modeling 59 (8), 3370-3388, 2019	1551	2019
Mammographic breast density assessment using deep learning: clinical implementation CD Lehman, A Yala, T Schuster, B Dontchos, M Bahl, K Swanson, ... Radiology 290 (1), 52-58, 2019	285	2019
Uncertainty quantification using neural networks for molecular property prediction L Hirschfeld, K Swanson, K Yang, R Barzilay, CW Coley Journal of Chemical Information and Modeling 60 (8), 3770-3780, 2020	238	2020
From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment K Swanson, E Wu, A Zhang, AA Alizadeh, J Zou Cell 186 (8), 1772-1791, 2023	202	2023
Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii G Liu, DB Catacutan, K Rathod, K Swanson, W Jin, JC Mohammed, ... Nature Chemical Biology 19 (11), 1342-1350, 2023	182	2023
Graph deep learning for the characterization of tumour microenvironments from spatial protein profiles in tissue specimens Z Wu, AE Trevino, E Wu, K Swanson, HJ Kim, HB D’Angio, R Preska, ... Nature Biomedical Engineering 6 (12), 1435-1448, 2022	77	2022
Deep learning for automated classification and characterization of amorphous materials K Swanson, S Trivedi, J Lequieu, K Swanson, R Kondor Soft matter 16 (2), 435-446, 2020	46	2020
Rationalizing text matching: Learning sparse alignments via optimal transport K Swanson, L Yu, T Lei arXiv preprint arXiv:2005.13111, 2020	44	2020
Generative AI for designing and validating easily synthesizable and structurally novel antibiotics K Swanson, G Liu, DB Catacutan, A Arnold, J Zou, JM Stokes Nature Machine Intelligence 6 (3), 338-353, 2024	40	2024
ADMET-AI: a machine learning ADMET platform for evaluation of large-scale chemical libraries K Swanson, P Walther, J Leitz, S Mukherjee, JC Wu, RV Shivnaraine, ... Bioinformatics 40 (7), btae416, 2024	32	2024
Toward universal cell embeddings: integrating single-cell RNA-seq datasets across species with SATURN Y Rosen, M Brbić, Y Roohani, K Swanson, Z Li, J Leskovec Nature Methods, 1-9, 2024	31	2024
Message passing neural networks for molecular property prediction K Swanson Massachusetts Institute of Technology, 2019	24	2019
Improving molecular design by stochastic iterative target augmentation K Yang, W Jin, K Swanson, R Barzilay, T Jaakkola International Conference on Machine Learning, 10716-10726, 2020	22	2020
7-UP: Generating in silico CODEX from a small set of immunofluorescence markers E Wu, AE Trevino, Z Wu, K Swanson, HJ Kim, HB D’Angio, R Preska, ... PNAS nexus 2 (6), pgad171, 2023	16	2023
Building a Production Model for Retrieval-Based Chatbots K Swanson, L Yu, C Fox, J Wohlwend, T Lei 1st Workshop on NLP for Conversational AI at the 57th Annual Meeting of the …, 2019	13	2019
SPACE-GM: geometric deep learning of disease-associated microenvironments from multiplex spatial protein profiles Z Wu, AE Trevino, E Wu, K Swanson, HJ Kim, HB D’Angio, R Preska, ... bioRxiv, 2022.05. 12.491707, 2022	9	2022
File matching with rationale alignment using neural networks and an optimal transport algorithm K Swanson, L Yu, T Lei US Patent 11,238,278, 2022	4	2022
Clinical trials in-a-dish for cardiovascular medicine X Wu, K Swanson, Z Yildirim, W Liu, R Liao, JC Wu European Heart Journal 45 (40), 4275-4290, 2024	3	2024
Language models for biological research: a primer E Simon, K Swanson, J Zou Nature Methods 21 (8), 1422-1429, 2024	3	2024

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