Machine learning methods applied to genotyping data capture interactions between single nucleotide variants in late onset Alzheimer's disease.

MLA

Arnal Segura, Magdalena, et al. “Machine Learning Methods Applied to Genotyping Data Capture Interactions between Single Nucleotide Variants in Late Onset Alzheimer’s Disease.” Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, vol. 14, no. 1, Jan. 2022, pp. 1–10. EBSCOhost, https://doi.org/10.1002/dad2.12300.

APA

Arnal Segura, M., Bini, G., Fernandez Orth, D., Samaras, E., Kassis, M., Aisopos, F., Rambla De Argila, J., Paliouras, G., Garrard, P., Giambartolomei, C., & Tartaglia, G. G. (2022). Machine learning methods applied to genotyping data capture interactions between single nucleotide variants in late onset Alzheimer’s disease. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 14(1), 1–10. https://doi.org/10.1002/dad2.12300

Chicago

Arnal Segura, Magdalena, Giorgio Bini, Dietmar Fernandez Orth, Eleftherios Samaras, Maya Kassis, Fotis Aisopos, Jordi Rambla De Argila, et al. 2022. “Machine Learning Methods Applied to Genotyping Data Capture Interactions between Single Nucleotide Variants in Late Onset Alzheimer’s Disease.” Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring 14 (1): 1–10. doi:10.1002/dad2.12300.