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DeepAutoGlioma: a deep learning autoencoder-based multi-omics data integration and classification tools for glioma subtyping

15 Nov 2023

Abstract excerpt

BACKGROUND AND OBJECTIVE: The classification of glioma subtypes is essential for precision therapy. Due to the heterogeneity of gliomas, the subtype-specific molecular pattern can be captured by integrating and analyzing high-throughput omics data from different genomic layers. The development of a deep-learning framework enables the integration of multi-omics data to classify the glioma subtypes to support the...

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PMID: 37968655
DOI: 10.1186/s13040-023-00349-7

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