The usage for Multiview analysis are detailed separately below
Heterogeneous molecular networks (including PPI, coexpression, AF-associated miRNAs-target, sequence similarity and transcriptional regulatory networks) and AF-differential expressions are utilized to investigate and visualize the association of individual genes with AF. Following the two steps below, you can obtain and visualize how the queried gene is associated with AF based on the various networks and AF differential expression data.
1. Query
Step1: Input Your Gene of interest
Note: you can input any gene of interest in the input box on the left (one gene at a time). Note that if your queried gene is a member of known AF-associated genes below, it will be removed from the list of known AF-associated genes to ensure independent evaluation.
STEP 2: Input Known AF-associated Genes
Note: by default, AF-associated genes from OMIM, GWAS and a curated list (see detail in AFGene page) are provided. However, you are free to make changes (add or delete) to this list.
2. Result
Part 1: shown as Note1 in the figure below, the basic information of queried gene.
Part 2: shown as Note2 in the figure below, this part includes four types of networks, which are AF-specific functional gene networks, PPI including interactions from five databases provided in resources page.The subnetworks describe the interactions of queried gene with AF-associated genes in different scenarios. If no interaction is obtained, 'Not Found' will be shown in the corresponding area.
Part 3: shown as Note3 in the figure below, the returning results of this part includes differential expression in AF between AF patients and controls, annotated functions (Gene Ontology), associated SNPs from GWAS, heart-eQTL from GTEx, and gene-enhancer interactions of heart from FENRIR.