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Leukemia Prediction Using Sparse Logistic Regression

We describe a supervised prediction method for diagnosis of acute myeloid leukemia (AML) from patient samples based on flow cytometry measurements. We use a data driven approach with machine learning methods to train a computational model that takes in flow cytometry measurements from a single patie...

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Detalles Bibliográficos
Autores principales: Manninen, Tapio, Huttunen, Heikki, Ruusuvuori, Pekka, Nykter, Matti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3758279/
https://www.ncbi.nlm.nih.gov/pubmed/24023658
http://dx.doi.org/10.1371/journal.pone.0072932