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

Title
A Crowdsourcing Approach to Developing and Assessing Prediction Algorithms for AML Prognosis
Authors
Keywords
Acute myeloid leukemia, Prognosis, Proteomic databases, Human genetics, Machine learning, Proteomics, Probability density, Systems biology
Journal
PLoS Computational Biology
Volume 12, Issue 6, Pages e1004890
Publisher
Public Library of Science (PLoS)
Online
2016-06-29
DOI
10.1371/journal.pcbi.1004890

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