Sociodemographic Indicators of Health Status Using a Machine Learning Approach and Data from the English Longitudinal Study of Aging (ELSA)

by Engchuan, Worrawat, Dimopoulos, Alexandros C., Tyrovolas, Stefanos, Caballero, Francisco Félix, Sanchez-Niubo, Albert, Arndt, Holger, Ayuso-Mateos, Jose Luis, Haro, Josep Maria, Chatterji, Somnath, Panagiotakos, Demosthenes B.
Published in Med Sci Monit (2019)

Exome Sequencing in BRCA1- and BRCA2-Negative Greek Families Identifies MDM1 and NBEAL1 as Candidate Risk Genes for Hereditary Breast Cancer

by Glentis, Stavros, Dimopoulos, Alexandros C., Rouskas, Konstantinos, Ntritsos, George, Evangelou, Evangelos, Narod, Steven A., Mes-Masson, Anne-Marie, Foulkes, William D., Rivera, Barbara, Tonin, Patricia N., Ragoussis, Jiannis, Dimas, Antigone S.
Published in Front Genet (2019)

Machine learning methodologies versus cardiovascular risk scores, in predicting disease risk

by Dimopoulos, Alexandros C., Nikolaidou, Mara, Caballero, Francisco Félix, Engchuan, Worrawat, Sanchez-Niubo, Albert, Arndt, Holger, Ayuso-Mateos, José Luis, Haro, Josep Maria, Chatterji, Somnath, Georgousopoulou, Ekavi N., Pitsavos, Christos, Panagiotakos, Demosthenes B.
Published in BMC Med Res Methodol (2018)

Ten simple rules for making training materials FAIR

by Garcia, Leyla, Batut, Bérénice, Burke, Melissa L., Kuzak, Mateusz, Psomopoulos, Fotis, Arcila, Ricardo, Attwood, Teresa K., Beard, Niall, Carvalho-Silva, Denise, Dimopoulos, Alexandros C., del Angel, Victoria Dominguez, Dumontier, Michel, Gurwitz, Kim T., Krause, Roland, McQuilton, Peter, Le Pera, Loredana, Morgan, Sarah L., Rauste, Päivi, Via, Allegra, Kahlem, Pascal, Rustici, Gabriella, van Gelder, Celia W. G., Palagi, Patricia M.
Published in PLoS Comput Biol (2020)