Discriminant analysis and machine learning approach for evaluating and improving the performance of immunohistochemical algorithms for COO classification of DLBCL

Discriminant analysis and machine learning approach for evaluating and improving the performance of immunohistochemical algorithms for COO classification of DLBCL

Abstract Background Diffuse large B-cell lymphoma (DLBCL) is classified into germinal center-like (GCB) and non-germinal center-like (non-GCB) cell-of-origin groups, entities driven by different oncogenic pathways with different clinical outcomes. DLBCL classification by immunohistochemistry (IHC)-b...

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Bibliographic Details
Main Authors: Yocanxóchitl Perfecto-Avalos, Alejandro Garcia-Gonzalez, Ana Hernandez-Reynoso, Gildardo Sánchez-Ante, Carlos Ortiz-Hidalgo, Sean-Patrick Scott, Rita Q. Fuentes-Aguilar, Ricardo Diaz-Dominguez, Grettel León-Martínez, Verónica Velasco-Vales, Mara A. Cárdenas-Escudero, José A. Hernández-Hernández, Arturo Santos, José R. Borbolla-Escoboza, Luis Villela
Format: Article
Language:English
Published: BMC 2019-06-01
Series:Journal of Translational Medicine
Subjects:
DLBCL
COO identification
IHC algorithm
Machine learning
Linear discriminant analysis
Online Access:http://link.springer.com/article/10.1186/s12967-019-1951-y

Internet

http://link.springer.com/article/10.1186/s12967-019-1951-y

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