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Computational identification of specific genes for glioblastoma stem-like cells identity
Glioblastoma, the most malignant brain cancer, contains self-renewing, stem-like cells that sustain tumor growth and therapeutic resistance. Identifying genes promoting stem-like cell differentiation might unveil targets for novel treatments. To detect them, here we apply SWIM – a software able to u...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5958093/ https://ncbi.nlm.nih.gov/pubmed/29773872 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-26081-5 |
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