ArticleComputational and structural biotechnology journal2026
Network-Based Prediction of Oligodendroglioma Driver Gene Candidates within the Region of the 1p/19q Co-deletion Utilizing Single-Cell Transcriptomes.
Article in Computational and structural biotechnology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
All oligodendrogliomas have a characteristic 1p/19q co-deletion that alters the expression of hundreds of genes on both affected chromosomal arms. The search for genes on 1p and 19q that drive oligodendroglioma development has only made little progress over the last years. Therefore, a computational network-based approach for the analysis of single-cell oligodendroglioma transcriptomes is developed to predict potential driver gene candidates within the region of the 1p/19q co-deletion purely based on tumor cells. Nine genes with strong impact on signaling pathways (
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