Use and Comparison of Machine Learning Techniques to Discern the Protein Patterns of Autoantibodies Present in Women with and without Breast Pathology

Breast cancer (BC) has become a global health problem, ranking first in incidence and fifth in mortality in women around the world. Although there are some diagnostic methods for the disease, these are not sufficiently effective and are invasive. In this work, we discriminated between patients witho...

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Veröffentlicht in:	Journal of proteome research 2025-01, Vol.24 (1), p.289
Hauptverfasser:	Llaguno-Roque, José-Luis, Barrientos-Martínez, Rocio-Erandi, Acosta-Mesa, Héctor-Gabriel, Barranca-Enríquez, Antonia, Mezura-Montes, Efrén, Romo-González, Tania
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Autoantibodies - blood Autoantibodies - immunology Breast - immunology Breast - pathology Breast Neoplasms - diagnosis Breast Neoplasms - immunology Breast Neoplasms - pathology Cell Line, Tumor Female Humans Machine Learning Neural Networks, Computer Supervised Machine Learning
Online-Zugang:	Volltext
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