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David Belanger

Showing results (1-10 of 9) with videos related to

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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 10, 2021
Generalizing Few-Shot Classification of Whole-Genome Doubling Across Cancer TypesSherry Chao, David Belanger
Nature Biotechnology|January 26, 2023
Hallucinating functional protein sequencesDavid Belanger, Lucy J Colwell
ACS Central Science|May 2, 2019
Rapid Prediction of Electron-Ionization Mass Spectrometry Using Neural NetworksJennifer N Wei, David Belanger, Ryan P Adams, et al.
Elife|February 27, 2023
ProteInfer, deep neural networks for protein functional inferenceTheo Sanderson, Maxwell L Bileschi, David Belanger, et al.
Genome Research|March 29, 2018
Sequential regulatory activity prediction across chromosomes with convolutional neural networksDavid R Kelley, Yakir A Reshef, Maxwell Bileschi, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|December 25, 2019
Critiquing Protein Family Classification Models Using Sufficient Input SubsetsBrandon Carter, Maxwell Bileschi, Jamie Smith, et al.
Canadian Geriatrics Journal : CGJ|March 3, 2023
Personalized Telehealth: Redesigning Complex Care Delivery for the 65+ During the COVID Pandemic: a Survey of Patients, Caregivers, and Health-care ProvidersSofia Nene, Magnus Rauch, David Belanger, et al.
Nature Biotechnology|February 22, 2022
Using deep learning to annotate the protein universeMaxwell L Bileschi, David Belanger, Drew H Bryant, et al.
Cell Systems|March 13, 2025
Engineering highly active nuclease enzymes with machine learning and high-throughput screeningNeil Thomas, David Belanger, Chenling Xu, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 10, 2021
Generalizing Few-Shot Classification of Whole-Genome Doubling Across Cancer TypesSherry Chao, David Belanger
Nature Biotechnology|January 26, 2023
Hallucinating functional protein sequencesDavid Belanger, Lucy J Colwell
ACS Central Science|May 2, 2019
Rapid Prediction of Electron-Ionization Mass Spectrometry Using Neural NetworksJennifer N Wei, David Belanger, Ryan P Adams, et al.
Elife|February 27, 2023
ProteInfer, deep neural networks for protein functional inferenceTheo Sanderson, Maxwell L Bileschi, David Belanger, et al.
Genome Research|March 29, 2018
Sequential regulatory activity prediction across chromosomes with convolutional neural networksDavid R Kelley, Yakir A Reshef, Maxwell Bileschi, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|December 25, 2019
Critiquing Protein Family Classification Models Using Sufficient Input SubsetsBrandon Carter, Maxwell Bileschi, Jamie Smith, et al.
Canadian Geriatrics Journal : CGJ|March 3, 2023
Personalized Telehealth: Redesigning Complex Care Delivery for the 65+ During the COVID Pandemic: a Survey of Patients, Caregivers, and Health-care ProvidersSofia Nene, Magnus Rauch, David Belanger, et al.
Nature Biotechnology|February 22, 2022
Using deep learning to annotate the protein universeMaxwell L Bileschi, David Belanger, Drew H Bryant, et al.
Cell Systems|March 13, 2025
Engineering highly active nuclease enzymes with machine learning and high-throughput screeningNeil Thomas, David Belanger, Chenling Xu, et al.
Pageof 1