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Material Type: Article
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Machine learning workflows to estimate class probabilities for precision cancer diagnostics on DNA methylation microarray dataNature protocols, 2020-02, Vol.15 (2), p.479-512 [Peer Reviewed Journal]COPYRIGHT 2020 Nature Publishing Group ;COPYRIGHT 2020 Nature Publishing Group ;2020© The Author(s), under exclusive licence to Springer Nature Limited 2020 ;The Author(s), under exclusive licence to Springer Nature Limited 2020. ;info:eu-repo/semantics/openAccess ;ISSN: 1754-2189 ;EISSN: 1750-2799 ;DOI: 10.1038/s41596-019-0251-6 ;PMID: 31932775Full text available |
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Material Type: Article
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Automatic Classification of Auroral Images From the Oslo Auroral THEMIS (OATH) Data Set Using Machine LearningJournal of geophysical research. Space physics, 2018-07 [Peer Reviewed Journal]info:eu-repo/semantics/openAccess ;ISSN: 2169-9380 ;EISSN: 2169-9402 ;DOI: 10.1029/2018JA025274Digital Resources/Online E-Resources |
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Material Type: Article
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Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmiaPloS one, 2019-05, Vol.14 (5), p.e0216756-e0216756 [Peer Reviewed Journal]COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Picon et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;info:eu-repo/semantics/openAccess ;2019 Picon et al 2019 Picon et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0216756 ;PMID: 31107876Full text available |
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Material Type: Article
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Coming up short: Identifying substrate and geographic biases in fungal sequence databasesFungal ecology, 2018-12 [Peer Reviewed Journal]info:eu-repo/semantics/openAccess ;ISSN: 1754-5048 ;DOI: 10.1016/j.funeco.2018.08.002Digital Resources/Online E-Resources |