Letter to the editor: Testing on external independent datasets is necessary to corroborate machine learning model improvement

Corsi, Giulia Ilaria; Anthon, Christian; Gorodkin, Jan; Valencia, Alfonso

doi:10.1093/bioinformatics/btad327

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Letter| May 18 2023

Letter to the editor: Testing on external independent datasets is necessary to corroborate machine learning model improvement

Publishing Partner: Oxford University Press

Giulia Ilaria Corsi

0000-0001-5932-0664

;

Giulia Ilaria Corsi

Department of Veterinary and Animal Sciences, Center for non-coding RNA in Technology and Health, University of Copenhagen

, 1870 Frederiksberg,

Denmark

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Christian Anthon

0000-0002-4336-1688

;

Christian Anthon

Department of Veterinary and Animal Sciences, Center for non-coding RNA in Technology and Health, University of Copenhagen

, 1870 Frederiksberg,

Denmark

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Jan Gorodkin

0000-0001-5823-4000

Jan Gorodkin

Department of Veterinary and Animal Sciences, Center for non-coding RNA in Technology and Health, University of Copenhagen

, 1870 Frederiksberg,

Denmark

Corresponding author. Department of Veterinary and Animal Sciences, Center for non-coding RNA in Technology and Health, University of Copenhagen, 1870 Frederiksberg, Denmark. E-mail: [email protected] (J.G.)

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Funders:

Novo Nordisk Fonden

Funder: Novo Nordisk Fonden

Funder ID: 10.13039/501100009708

Award/Grant ID: NNF21OC0068988

Author & Article Information

Corresponding author. Department of Veterinary and Animal Sciences, Center for non-coding RNA in Technology and Health, University of Copenhagen, 1870 Frederiksberg, Denmark. E-mail: [email protected] (J.G.)

Publisher: Oxford University Press

Received: September 13 2022

Revision Received: December 02 2022

Accepted: May 17 2023

Funders

Funder: Novo Nordisk Fonden

Funder ID: 10.13039/501100009708

Award/Grant ID: NNF21OC0068988

2023

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

This work is licensed under a Creative Commons Attribution 4.0 International License .

Publisher: Oxford University Press

Publication: Bioinformatics

Bioinformatics (2023) 39 (6): btad327.

https://doi.org/10.1093/bioinformatics/btad327

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2023

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Letter to the editor: Testing on external independent datasets is necessary to corroborate machine learning model improvement

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Letter to the editor: Testing on external independent datasets is necessary to corroborate machine learning model improvement

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