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Machine Learning-Based Analysis of Glioma Grades Reveals Co-Enrichment
SIMPLE SUMMARY: Gliomas are heterogenous types of cancer, therefore the therapy should be personalized and targeted toward specific pathways. We developed a methodology that corrected strong batch effects from The Cancer Genome Atlas datasets and estimated glioma grade-specific co-enrichment mechani...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870250/ https://www.ncbi.nlm.nih.gov/pubmed/35205761 http://dx.doi.org/10.3390/cancers14041014 |