A Crowdsourcing Approach to Developing and Assessing Prediction Algorithms for AML Prognosis

Acute Myeloid Leukemia (AML) is a fatal hematological cancer. The genetic abnormalities underlying AML are extremely heterogeneous among patients, making prognosis and treatment selection very difficult. While clinical proteomics data has the potential to improve prognosis accuracy, thus far, the qu...

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Detalles Bibliográficos
Autores principales: Noren, David P., Long, Byron L., Norel, Raquel, Rrhissorrakrai, Kahn, Hess, Kenneth, Hu, Chenyue Wendy, Bisberg, Alex J., Schultz, Andre, Engquist, Erik, Liu, Li, Lin, Xihui, Chen, Gregory M., Xie, Honglei, Hunter, Geoffrey A. M., Boutros, Paul C., Stepanov, Oleg, Norman, Thea, Friend, Stephen H., Stolovitzky, Gustavo, Kornblau, Steven, Qutub, Amina A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4924788/
https://www.ncbi.nlm.nih.gov/pubmed/27351836
http://dx.doi.org/10.1371/journal.pcbi.1004890

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4924788/
https://www.ncbi.nlm.nih.gov/pubmed/27351836
http://dx.doi.org/10.1371/journal.pcbi.1004890

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