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...

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Detalles Bibliográficos
Autores principales: Garbulowski, Mateusz, Smolinska, Karolina, Çabuk, Uğur, Yones, Sara A., Celli, Ludovica, Yaz, Esma Nur, Barrenäs, Fredrik, Diamanti, Klev, Wadelius, Claes, Komorowski, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870250/
https://www.ncbi.nlm.nih.gov/pubmed/35205761
http://dx.doi.org/10.3390/cancers14041014

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