Disclosing transcriptomics network-based signatures of glioma heterogeneity using sparse methods

Disclosing transcriptomics network-based signatures of glioma heterogeneity using sparse methods

Abstract Gliomas are primary malignant brain tumors with poor survival and high resistance to available treatments. Improving the molecular understanding of glioma and disclosing novel biomarkers of tumor development and progression could help to find novel targeted therapies for this type of cancer...

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Bibliographic Details
Main Authors: Sofia Martins, Roberta Coletti, Marta B. Lopes
Format: Article
Language:English
Published: BMC 2023-09-01
Series:BioData Mining
Subjects:
Glioma
Transcriptomics
Biomarkers
Sparse networks
Joint graphical lasso
Robust sparse K-means clustering
Online Access:https://doi.org/10.1186/s13040-023-00341-1

Internet

https://doi.org/10.1186/s13040-023-00341-1

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