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Fig. 1 | Biology Direct

Fig. 1

From: Computational identification and characterization of glioma candidate biomarkers through multi-omics integrative profiling

Fig. 1

Datasets and bioinformatic analysis workflow. a A comprehensive assemble of multi-omics datasets and their corresponding meta data were integrated from GTEx, TCGA, CGGA, GEO and Ivy GAP. b An integrative analysis workflow was adopted, including detection of brain-specific genes, identification of CSF-detectable genes, ranking of candidate genes in light of protein fluorescence. A series of bioinformatic analyses were performed, including differential expression/methylation analysis, survival analysis, treatment prediction, multi-omics association and characterization of PRKCG-like genes

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Biology Direct

ISSN: 1745-6150

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