Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits.

ABSTRACT: Here, we performed a comprehensive intra-tissue and inter-tissue multilayer network analysis of the human transcriptome. We generated an atlas of communities in gene co-expression networks in 49 tissues (GTEx v8), evaluated their tissue specificity, and investigated their methodological implications. UMAP embeddings of gene expression from the communities (representing nearly 18% of all genes) robustly identified biologically-meaningful clusters. Notably, new gene expression data can be embedded into our algorithmically derived models to accelerate discoveries in high-dimensional molecular datasets and downstream diagnostic or prognostic applications. We demonstrate the generalisability of our approach through systematic testing in external genomic and transcriptomic datasets. Methodologic

SUBMITTER: Azevedo T 

PROVIDER: S-EPMC8160250 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature