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Identification of cancer risk groups through multi-omics integration using autoencoder and tensor analysis
Identification of cancer risk groups through multi-omics integration using autoencoder and tensor analysis
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Identification of cancer risk groups through multi-omics integration using autoencoder and tensor analysis

Scientific reports, 2024-05, Vol.14 (1), p.11263-11263 [Peer Reviewed Journal]

2024. The Author(s). ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-59670-8 ;PMID: 38760420

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2
Association of major and minor ECG abnormalities with traditional cardiovascular risk factors in the general population: a large scale study
Association of major and minor ECG abnormalities with traditional cardiovascular risk factors in the general population: a large scale study
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Association of major and minor ECG abnormalities with traditional cardiovascular risk factors in the general population: a large scale study

Scientific reports, 2024-05, Vol.14 (1), p.11289-11289 [Peer Reviewed Journal]

2024. The Author(s). ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-62142-8 ;PMID: 38760424

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3
Interleukin-16 is increased in dialysis patients but is not a cardiovascular risk factor
Interleukin-16 is increased in dialysis patients but is not a cardiovascular risk factor
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Interleukin-16 is increased in dialysis patients but is not a cardiovascular risk factor

Scientific reports, 2024-05, Vol.14 (1), p.11323-11323 [Peer Reviewed Journal]

2024. The Author(s). ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-61808-7 ;PMID: 38760468

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4
Weighted metrics are required when evaluating the performance of prediction models in nested case-control studies
Weighted metrics are required when evaluating the performance of prediction models in nested case-control studies
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Weighted metrics are required when evaluating the performance of prediction models in nested case-control studies

BMC medical research methodology, 2024-05, Vol.24 (1), p.115-115 [Peer Reviewed Journal]

2024. The Author(s). ;COPYRIGHT 2024 BioMed Central Ltd. ;ISSN: 1471-2288 ;EISSN: 1471-2288 ;DOI: 10.1186/s12874-024-02213-6 ;PMID: 38760688

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