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Machine learning workflows to estimate class probabilities for precision cancer diagnostics on DNA methylation microarray data
Machine learning workflows to estimate class probabilities for precision cancer diagnostics on DNA methylation microarray data
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Machine learning workflows to estimate class probabilities for precision cancer diagnostics on DNA methylation microarray data

Nature 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: 31932775

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Classification of Acoustic Hearing Preservation After Cochlear Implantation Using Electrocochleography
Classification of Acoustic Hearing Preservation After Cochlear Implantation Using Electrocochleography
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Classification of Acoustic Hearing Preservation After Cochlear Implantation Using Electrocochleography

Trends in hearing, 2023-01, Vol.27, p.23312165231220997-23312165231220997 [Peer Reviewed Journal]

The Author(s) 2023 ;The Author(s) 2023. This work is licensed under the Creative Commons Attribution – Non-Commercial License https://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;info:eu-repo/semantics/openAccess ;The Author(s) 2023 2023 SAGE Publications ;ISSN: 2331-2165 ;EISSN: 2331-2165 ;DOI: 10.1177/23312165231220997 ;PMID: 38105510

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Coming up short: Identifying substrate and geographic biases in fungal sequence databases
Coming up short: Identifying substrate and geographic biases in fungal sequence databases
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Coming up short: Identifying substrate and geographic biases in fungal sequence databases

Fungal ecology, 2018-12 [Peer Reviewed Journal]

info:eu-repo/semantics/openAccess ;ISSN: 1754-5048 ;DOI: 10.1016/j.funeco.2018.08.002

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