Understanding the Molecular Interface of Cardiovascular Diseases and COVID-19: A Data Science Approach
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-86140-7_15
Reference33 articles.
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4. Marcos-Zambrano, L.J., Karaduzovic-Hadziabdic, K., Loncar Turukalo, T., Przymus, P., Trajkovik, V., Aasmets, O., et al.: Applications of machine learning in human microbiome studies: a review on feature selection, biomarker identification, disease prediction and treatment. Front. Microbiol. 12, 634511 (2021). https://doi.org/10.3389/fmicb.2021.634511
5. Deng, F., Huang, J., Yuan, X., Cheng, C., Zhang, L.: Performance and efficiency of machine learning algorithms for analyzing rectangular biomedical data. Lab. Investig. 101(4), 430–441 (2021). https://doi.org/10.1038/s41374-020-00525-x
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