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Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments., , , , , , , , , and 3 other author(s). IEEE Access, (2020)Prediction of Human Gene - Phenotype Associations by Exploiting the Hierarchical Structure of the Human Phenotype Ontology., , , , and . IWBBIO (1), volume 9043 of Lecture Notes in Computer Science, page 66-77. Springer, (2015)The Monarch Initiative: an integrative data and analytic platform connecting phenotypes to genotypes across species., , , , , , , , , and 16 other author(s). Nucleic acids research, (Jan 4, 2017)The generalised k-Truncated Suffix Tree for time-and space-efficient searches in multiple DNA or protein sequences., , and . Int. J. Bioinform. Res. Appl., 4 (1): 81-95 (2008)The digital revolution in phenotyping., , , , , , , , , and 9 other author(s). Briefings Bioinform., 17 (5): 819-830 (2016)An expectation-maximization framework for comprehensive prediction of isoform-specific functions., , , , , , , , and . Bioinform., (April 2023)Identity-by-descent filtering of exome sequence data for disease-gene identification in autosomal recessive disorders., , , , , , , , and . Bioinform., 27 (6): 829-836 (2011)The Human Phenotype Ontology project: linking molecular biology and disease through phenotype data., , , , , , , , , and 37 other author(s). Nucleic Acids Res., 42 (Database-Issue): 966-974 (2014)The Monarch Initiative: an integrative data and analytic platform connecting phenotypes to genotypes across species., , , , , , , , , and 16 other author(s). Nucleic Acids Res., 45 (Database-Issue): D712-D722 (2017)PhenoMiner: from text to a database of phenotypes associated with OMIM diseases., , , , , and . Database J. Biol. Databases Curation, (2015)