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Additional file 9 of Computational identification and characterization of glioma candidate biomarkers through multi-omics integrative profiling

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posted on 2020-06-16, 03:48 authored by Lin Liu, Guangyu Wang, Liguo Wang, Chunlei Yu, Mengwei Li, Shuhui Song, Lili Hao, Lina Ma, Zhang Zhang
Additional file 9: Figure S8. Multi-omics molecular profiles of PRKCG. (A) Association of PRKCG’s multi-omics signatures with IDH, 1p/19q status and WHO grade. (B) Correlation between PRKCG expression and CNV Loss. (C) Correlation between PRKCG expression and CNV Gain. (D) Correlation between PRKCG expression and all CNV status. (E) Correlation between PRKCG expression and DNA methylation of the CpG site cg04518808. (F) Correlation between PRKCG expression and DNA methylation of the CpG site cg26626089.

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National Natural Science Foundation of China The Strategic Priority Research Program of the Chinese Academy of Sciences National Key Research & Development Program of China 13th Five-year Informatization Plan of Chinese Academy of Sciences Youth Innovation Promotion Association of Chinese Academy of Sciences

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    GliomaMulti-omicsPRKCGBiomarkerCerebrospinal fluid

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