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. 2020 Oct 23;11:578345. doi: 10.3389/fgene.2020.578345

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Copyright © 2020 Das, Andrieux, Ahmed and Chakraborty.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Number of different TCGA-samples across multi-omics platforms. Different types of TCGA samples – Primary Solid Tumor (TP), Blood-Derived Normal (NB), Primary Blood-Derived Cancer – Peripheral Blood (TB) and Solid Tissue Normal (NT) that were used to generate multi-omics data – Genomics: Copy number analysis (A), Epigenomics: Methylation values (B), Transcriptomics: RNA-seq (C), miRNA-seq (D) and Proteomics: RPPA (E) were plotted. The Y-axis represents the number of samples where the X-axis indicates TCGA cohorts. Different symbols represent the type of samples.