Facilitating “Omics” for Phenotype Classification Using a User-Friendly AI-Driven Platform: Application in Cancer Prognostics

Precision medicine approaches often rely on complex and integrative analyses of multiple biomarkers from “omics” data to generate insights that can help with either diagnostic, prognostic, or therapeutical decisions. Such insights are often made using machine learning (ML) models that perform sample...

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Bibliographic Details
Main Authors: Uraquitan Lima Filho, Tiago Alexandre Pais, Ricardo Jorge Pais
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:BioMedInformatics
Subjects:
Online Access:https://www.mdpi.com/2673-7426/3/4/64