Expanding the Understanding of Biases in Development of Clinical-Grade Molecular Signatures: A Case Study in Acute Respiratory Viral Infections

BACKGROUND: The promise of modern personalized medicine is to use molecular and clinical information to better diagnose, manage, and treat disease, on an individual patient basis. These functions are predominantly enabled by molecular signatures, which are computational models for predicting phenoty...

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Detalles Bibliográficos
Autores principales: Lytkin, Nikita I., McVoy, Lauren, Weitkamp, Jörn-Hendrik, Aliferis, Constantin F., Statnikov, Alexander
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3105991/
https://www.ncbi.nlm.nih.gov/pubmed/21673802
http://dx.doi.org/10.1371/journal.pone.0020662

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3105991/
https://www.ncbi.nlm.nih.gov/pubmed/21673802
http://dx.doi.org/10.1371/journal.pone.0020662

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