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Parallel and Distributed Analysis of Microarray Data.

, , and . TopHPC, volume 33 of Advances in Parallel Computing, page 275-288. IOS Press, (2017)

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High Performance Analysis of Omics Data: Experiences at University Magna Graecia of Catanzaro., , and . HPCS, page 929-932. IEEE, (2017)Efficient learning of association rules from human phenotype ontology., , , and . BCB, page 568-573. ACM, (2015)ACM-BCB 2018 ParBio Chairs' Welcome & Organization., and . BCB, page 687-688. ACM, (2018)Using GO-WAR for mining cross-ontology weighted association rules., , , and . Comput. Methods Programs Biomed., 120 (2): 113-122 (2015)An experimental study of information content measurement of gene ontology terms., , , and . Int. J. Machine Learning & Cybernetics, 9 (3): 427-439 (2018)DMET-Analyzer: automatic analysis of Affymetrix DMET Data., , , , , , and . BMC Bioinform., (2012)Extracting Cross-Ontology Weighted Association Rules from Gene Ontology Annotations., , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 13 (2): 197-208 (2016)DMET-Miner: Efficient discovery of association rules from pharmacogenomic data., , and . J. Biomed. Informatics, (2015)A New Parallel Methodology for the Network Analysis of COVID-19 Data., , and . Euro-Par Workshops, volume 12480 of Lecture Notes in Computer Science, page 333-343. Springer, (2020)Parallel Learning of Weighted Association Rules in Human Phenotype Ontology., , , and . Euro-Par Workshops, volume 11997 of Lecture Notes in Computer Science, page 549-559. Springer, (2019)