Identification of Key Immune and Cell Cycle Modules and Prognostic Genes for Glioma Patients through Transcriptome Analysis
Background: Gliomas, the most prevalent type of primary brain tumor, stand out as one of the most aggressive and lethal types of human cancer. Methods & Results: To uncover potential prognostic markers, we employed the weighted correlation network analysis (WGCNA) on the Chinese Glioma Genome At...
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Main Authors: | , , , , , , , , , |
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Format: | Book |
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MDPI AG,
2024-09-01T00:00:00Z.
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A1234.567 |
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