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Análisis de asociaciones y efectos de orden superior en datos multiómicos con aprendizaje automático doble

Julian Hecker1, Dmitry Prokopenko2, Georg Hahn3,4

  • 1Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.

bioRxiv : the preprint server for biology
|December 22, 2025
PubMed
Resumen

Este estudio presenta el marco Robust Omics MethodologY (ROMY) para el análisis ómico integrador. ROMY proporciona métodos robustos para pruebas de asociación, análisis de varianza y efectos de interacción en datos biológicos complejos.

Palabras clave:
Análisis ómico integradorPruebas de asociaciónAnálisis de varianzaEfectos de interacciónAprendizaje automático dobleBiostatísticaBioinformáticaBiología computacional

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