| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6920715 | Computers in Biology and Medicine | 2017 | 9 Pages |
Abstract
Random survival forest and boosting approach give good predictive performance but gene signatures are very unstable. Further works are needed to propose adequate strategies for the analysis of high-dimensional data in the context of competing risks.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Julia Gilhodes, Christophe Zemmour, Soufiane Ajana, Alejandra Martinez, Jean-Pierre Delord, Eve Leconte, Jean-Marie Boher, Thomas Filleron,