Fig. 1

The framework of m⁷GDisAI. m⁷GDisAI mainly consists of four steps. The first step is to extract m⁷G sequence-derived features with m⁷G-variant data to construct m⁷G chemical similarity network (CSN) and CNF similarity network (CNFSN). The second step is to fuse CSN and CNFSN together by taking linear combinations of chemical similarities and CNF similarities, and then form a series of m⁷G integrated similarity networks. The third step is to build heterogeneous networks with m⁷G-similarity networks, m⁷G-disease association network, and disease semantic network. The fourth step is to predict associations between unknown m⁷G site-disease pairs