Fig. 1
From: Modelling cell type-specific lncRNA regulatory network in autism with Cycle

Workflow of Cycle. Firstly, Cycle extracts the matched lncRNA and mRNA expression data by using gene annotation information from HGNC (HUGO Gene Nomenclature Committee), and further retains the highly expressed lncRNAs and mRNAs for each cell type. In total, we have obtained 17 cell type-specific expression data of highly expressed lncRNAs and mRNAs. Secondly, Cycle models cell type-specific lncRNA regulatory networks for 17 ASD cell types. Furthermore, Cycle identifies the rewired and stable modules, and hub lncRNAs by utilizing the constructed lncRNA regulatory networks. Finally, Cycle conducts four types of downstream analyses, including network topological analysis, uniqueness analysis, cell similarity network construction, and enrichment analysis. Created with BioRender.com