Recursive Random Lasso (RRLasso) for Identifying Anti-Cancer Drug Targets.
Uncovering driver genes is crucial for understanding heterogeneity in cancer. L1-type regularization approaches have been widely used for uncovering cancer driver genes based on genome-scale data. Although the existing methods have been widely applied in the field of bioinformatics, they possess sev...
| Main Authors: | , , |
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| Format: | Article |
| Sprog: | English |
| Udgivet: |
Public Library of Science (PLoS)
2015-01-01
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| Serier: | PLoS ONE |
| Online adgang: | http://europepmc.org/articles/PMC4636151?pdf=render |