driveR: a novel method for prioritizing cancer driver genes using somatic genomics data
Abstract Background Cancer develops due to “driver” alterations. Numerous approaches exist for predicting cancer drivers from cohort-scale genomics data. However, methods for personalized analysis of driver genes are underdeveloped. In this study, we developed a novel personalized/batch analysis app...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2021-05-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12859-021-04203-7 |