Tracking intratumoral heterogeneity in glioblastoma via regularized classification of single-cell RNA-Seq data
Abstract Background Understanding cellular and molecular heterogeneity in glioblastoma (GBM), the most common and aggressive primary brain malignancy, is a crucial step towards the development of effective therapies. Besides the inter-patient variability, the presence of multiple cell populations wi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2020-02-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12859-020-3390-4 |