Assessment of <i>CFH</i> and <i>HTRA1</i> polymorphisms in age-related macular degeneration using classic and machine-learning approaches

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dc.contributor.authorAntonieta Martínez-Velasco
dc.contributor.authorAndric Pérez-Ortíz
dc.contributor.authorBani Antonio‐Aguirre
dc.contributor.authorLourdes Martínez-Villaseñor
dc.contributor.authorEsmeralda Lira-Romero
dc.contributor.authorClaudia Palacio-Pastrana
dc.contributor.authorJuan Carlos Zenteno
dc.contributor.authorIsrael Ramírez
dc.contributor.authorClaudia Zepeda-Palacio
dc.contributor.authorCristina Mendoza-Velásquez
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T15:20:24Z
dc.date.available2026-03-22T15:20:24Z
dc.date.issued2020
dc.descriptionCitaciones: 2
dc.description.abstractIn sum, this work supports a strong association between <i>HTRA1</i> genetic variants and AMD in Hispanics from Mexico, especially with GA. Moreover, ML was able to replicate the results of conventional biostatistics methods unbiasedly.
dc.identifier.doi10.1080/13816810.2020.1804945
dc.identifier.urihttps://doi.org/10.1080/13816810.2020.1804945
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/51794
dc.language.isoen
dc.publisherTaylor & Francis
dc.relation.ispartofOphthalmic Genetics
dc.sourceUniversidad Panamericana
dc.subjectMacular degeneration
dc.subjectSingle-nucleotide polymorphism
dc.subjectLogistic regression
dc.subjectOdds ratio
dc.subjectMedicine
dc.subjectGenotype
dc.subjectAllele
dc.subjectGenetics
dc.subjectPopulation
dc.subjectBiology
dc.titleAssessment of <i>CFH</i> and <i>HTRA1</i> polymorphisms in age-related macular degeneration using classic and machine-learning approaches
dc.typearticle

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