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A machine learning approach utilizing DNA methylation as an accurate classifier of COVID-19 disease severity

, , , , , and . Scientific Reports, 12 (1): 17480-- (2022)
DOI: 10.1038/s41598-022-22201-4

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A unified approach to estimation and control of the False Discovery Rate in Bayesian network skeleton identification., and . ESANN, (2011)Heart Rate Classification Using ECG Signal Processing and Machine Learning Methods., , , , , , and . BIBE, page 1-6. IEEE, (2021)A Novel Algorithm for Scalable and Accurate Bayesian Network Learning., , and . MedInfo, volume 107 of Studies in Health Technology and Informatics, page 711-715. IOS Press, (2004)Feature Selection with the R Package MXM: Discovering Multiple, Statistically-Equivalent, Predictive Feature Subsets, , , , and . Journal of Statistical Software, (2017)SCENERY: a web application for (causal) network reconstruction from cytometry data, , , , , , , and . Nucleic Acids Research, (May 2017)Machine learning models for lung cancer classification using array comparative genomic hybridization., , , , and . 16th International FLAIRS Conference, (2002)A Strategy for Making Predictions Under Manipulation., and . WCCI Causation and Prediction Challenge, volume 3 of JMLR Proceedings, page 35-52. JMLR.org, (2008)Scanning of Genetic Variants and Genetic Mapping of Phenotypic Traits in Gilthead Sea Bream Through ddRAD Sequencing, , , , , , , , , and . Frontiers in Genetics, (2019)STATegra, a comprehensive multi-omics dataset of B-cell differentiation in mouse, , , , , , , , , and 20 other author(s). Scientific Data, (October 2019)Development and validation of risk assessment models for diabetes-related complications based on the DCCT/EDIC data, , , , , , and . Journal of Diabetes and its Complications 2015., (2015)