Cancer prognosis prediction using somatic point mutation and copy number variation data: a comparison of gene-level and pathway-based models
Abstract Background Genomic profiling of solid human tumors by projects such as The Cancer Genome Atlas (TCGA) has provided important information regarding the somatic alterations that drive cancer progression and patient survival. Although researchers have successfully leveraged TCGA data to build...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2020-10-01
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| Series: | BMC Bioinformatics |
| Online Access: | http://link.springer.com/article/10.1186/s12859-020-03791-0 |