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Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance.
Artif Intell Med. 2020 Nov;110:101976. doi: 10.1016/j.artmed.2020.101976. Epub 2020 Oct 22.
Artif Intell Med. 2020.
PMID: 33250148
A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation.
Macías-García L, Luna-Romera JM, García-Gutiérrez J, Martínez-Ballesteros M, Riquelme-Santos JC, González-Cámpora R.
Macías-García L, et al. Among authors: luna romera jm.
J Biomed Inform. 2017 Aug;72:33-44. doi: 10.1016/j.jbi.2017.06.020. Epub 2017 Jun 27.
J Biomed Inform. 2017.
PMID: 28663073
Free article.
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Statistically Representative Metrology of Nanoparticles via Unsupervised Machine Learning of TEM Images.
Wen H, Luna-Romera JM, Riquelme JC, Dwyer C, Chang SLY.
Wen H, et al. Among authors: luna romera jm.
Nanomaterials (Basel). 2021 Oct 14;11(10):2706. doi: 10.3390/nano11102706.
Nanomaterials (Basel). 2021.
PMID: 34685147
Free PMC article.
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An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market.
Luna-Romera JM, Carranza-García M, Arcos-Vargas Á, Riquelme-Santos JC.
Luna-Romera JM, et al.
Heliyon. 2024 Feb 8;10(3):e25838. doi: 10.1016/j.heliyon.2024.e25838. eCollection 2024 Feb 15.
Heliyon. 2024.
PMID: 38371961
Free PMC article.
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