A novel non-parametric method for uncertainty evaluation of correlation-based molecular signatures: its application on PAM50 algorithm

The PAM50 classifier is used to assign patients to the highest correlated breast cancer subtype irrespectively of the obtained value. Nonetheless, all subtype correlations are required to build the risk of recurrence (ROR) score, currently used in therapeutic decisions. Present subtype uncertainty e...

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Veröffentlicht in:	Bioinformatics (Oxford, England) England), 2017-03, Vol.33 (5), p.693-700
Hauptverfasser:	Fresno, Cristóbal, González, Germán Alexis, Merino, Gabriela Alejandra, Flesia, Ana Georgina, Podhajcer, Osvaldo Luis, Llera, Andrea Sabina, Fernández, Elmer Andrés
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Breast Neoplasms - diagnosis Computational Biology - methods Female Humans Neoplasm Recurrence, Local Prognosis Risk Uncertainty
Online-Zugang:	Volltext
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