Exploring glioma heterogeneity through omics networks: from gene network discovery to causal insights and patient stratification

Exploring glioma heterogeneity through omics networks: from gene network discovery to causal insights and patient stratification

Abstract Gliomas are primary malignant brain tumors with a typically poor prognosis, exhibiting significant heterogeneity across different cancer types. Each glioma type possesses distinct molecular characteristics determining patient prognosis and therapeutic options. This study aims to explore the...

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Bibliographic Details
Main Authors: Nina Kastendiek, Roberta Coletti, Thilo Gross, Marta B. Lopes
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BioData Mining
Subjects:
Cancer omics data
Graphical lasso
Network centrality
Causal networks
Modularity detection
Spectral clustering
Online Access:https://doi.org/10.1186/s13040-024-00411-y
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https://doi.org/10.1186/s13040-024-00411-y

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