Cubic regression-based degree of correction predicts the performance of whole bisulfitome amplified DNA methylation analysis

Nora Fernandez-Jimenez Immunogenetics Research Laboratory; Department of Genetics, Physical Anthropology and Animal Physiology; BioCruces Health Research Institute; University of the Basque Country UPV/EHU; Leioa, Basque Country, Spain

Leticia Plaza-Izurieta Immunogenetics Research Laboratory; Department of Genetics, Physical Anthropology and Animal Physiology; BioCruces Health Research Institute; University of the Basque Country UPV/EHU; Leioa, Basque Country, Spain

Tamara Lopez-Euba Immunogenetics Research Laboratory; Department of Genetics, Physical Anthropology and Animal Physiology; BioCruces Health Research Institute; University of the Basque Country UPV/EHU; Leioa, Basque Country, Spain

Amaia Jauregi-Miguel Immunogenetics Research Laboratory; Department of Genetics, Physical Anthropology and Animal Physiology; BioCruces Health Research Institute; University of the Basque Country UPV/EHU; Leioa, Basque Country, Spain

Jose Ramon Bilbao Immunogenetics Research Laboratory; Department of Genetics, Physical Anthropology and Animal Physiology; BioCruces Health Research Institute; University of the Basque Country UPV/EHU; Leioa, Basque Country, SpainCorrespondence[email protected]

Cubic regression-based degree of correction predicts the performance of whole bisulfitome amplified DNA methylation analysis

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Cubic regression-based degree of correction predicts the performance of whole bisulfitome amplified DNA methylation analysis

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