Identifying interactions in omics data for clinical biomarker discovery using symbolic regression

MOTIVATION: The identification of predictive biomarker signatures from omics and multi-omics data for clinical applications is an active area of research. Recent developments in assay technologies and machine learning (ML) methods have led to significant improvements in predictive performance. Howev...

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Detalles Bibliográficos
Autores principales: Christensen, Niels Johan, Demharter, Samuel, Machado, Meera, Pedersen, Lykke, Salvatore, Marco, Stentoft-Hansen, Valdemar, Iglesias, Miquel Triana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9344843/
https://www.ncbi.nlm.nih.gov/pubmed/35731214
http://dx.doi.org/10.1093/bioinformatics/btac405

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9344843/
https://www.ncbi.nlm.nih.gov/pubmed/35731214
http://dx.doi.org/10.1093/bioinformatics/btac405

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