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An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence.

, and . Frontiers Robotics AI, (2022)

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Probabilistic Latent Semantic Analysis for prediction of Gene Ontology annotations., , and . IJCNN, page 1-8. IEEE, (2012)Genomic Annotation Prediction Based on Integrated Information., , and . CIBB, volume 7548 of Lecture Notes in Computer Science, page 238-252. Springer, (2011)Deep autoencoder neural networks for gene ontology annotation predictions., , and . BCB, page 533-540. ACM, (2014)Software Suite for Gene and Protein Annotation Prediction and Similarity Search., and . IEEE ACM Trans. Comput. Biol. Bioinform., 12 (4): 837-843 (2015)Data analytics and clinical feature ranking of medical records of patients with sepsis., and . BioData Min., 14 (1): 12 (2021)A statistical comparison between Matthews correlation coefficient (MCC), prevalence threshold, and Fowlkes-Mallows index., and . J. Biomed. Informatics, (August 2023)geoCancerPrognosticDatasetsRetriever: a bioinformatics tool to easily identify cancer prognostic datasets on Gene Expression Omnibus (GEO)., and . Bioinform., 38 (6): 1761-1763 (2022)A Survey on Publicly Available Open Datasets Derived From Electronic Health Records (EHRs) of Patients with Neuroblastoma., , and . Data Sci. J., (2022)A brief survey of tools for genomic regions enrichment analysis., and . Frontiers Bioinform., (2022)Ensemble machine learning reveals key features for diabetes duration from electronic health records., and . PeerJ Comput. Sci., (2024)