Computational identification and characterization of glioma candidate biomarkers through multi-omics integrative profiling
Abstract Background Glioma is one of the most common malignant brain tumors and exhibits low resection rate and high recurrence risk. Although a large number of glioma studies powered by high-throughput sequencing technologies have led to massive multi-omics datasets, there lacks of comprehensive in...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2020-06-01
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| Series: | Biology Direct |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13062-020-00264-5 |