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Sean B Holden

Showing results (1-10 of 5) with videos related to

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NAR Genomics and Bioinformatics|December 11, 2024
AnnoGCD: a generalized category discovery framework for automatic cell type annotationFrancesco Ceccarelli, Pietro Liò, Sean B Holden
Molecular Informatics|August 2, 2016
Multiple Kernel Learning for Drug DiscoveryNicholas C V Pilkington, Matthew W B Trotter, Sean B Holden
Cell Reports Methods|March 31, 2026
Topography-aware optimal transport for alignment of spatial omics dataFrancesco Ceccarelli, Pietro Liò, Julio Saez-Rodriguez, et al.
Bioinformatics (Oxford, England)|February 2, 2018
Co-complex protein membership evaluation using Maximum Entropy on GO ontology and InterPro annotationIrina M Armean, Kathryn S Lilley, Matthew W B Trotter, et al.
Plos Computational Biology|May 14, 2016
Learning from Heterogeneous Data Sources: An Application in Spatial ProteomicsLisa M Breckels, Sean B Holden, David Wojnar, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
NAR Genomics and Bioinformatics|December 11, 2024
AnnoGCD: a generalized category discovery framework for automatic cell type annotationFrancesco Ceccarelli, Pietro Liò, Sean B Holden
Molecular Informatics|August 2, 2016
Multiple Kernel Learning for Drug DiscoveryNicholas C V Pilkington, Matthew W B Trotter, Sean B Holden
Cell Reports Methods|March 31, 2026
Topography-aware optimal transport for alignment of spatial omics dataFrancesco Ceccarelli, Pietro Liò, Julio Saez-Rodriguez, et al.
Bioinformatics (Oxford, England)|February 2, 2018
Co-complex protein membership evaluation using Maximum Entropy on GO ontology and InterPro annotationIrina M Armean, Kathryn S Lilley, Matthew W B Trotter, et al.
Plos Computational Biology|May 14, 2016
Learning from Heterogeneous Data Sources: An Application in Spatial ProteomicsLisa M Breckels, Sean B Holden, David Wojnar, et al.
Pageof 1