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Tracking intratumoral heterogeneity in glioblastoma via regularized classification of single-cell RNA-Seq data
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 within tum...
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| 出版年: | BMC Bioinformatics |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7029554/ https://ncbi.nlm.nih.gov/pubmed/32070274 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-3390-4 |
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