Cancer driver gene prediction and analysis method based on heterogeneous graph Transform framework

The invention discloses a cancer driver gene prediction and analysis method based on a heterogeneous graph Transform framework, and relates to the field of bioinformatics, the method comprises the following steps: constructing a heterogeneous network of genes and proteins by using the interaction relationship between the genes, the interaction relationship between the proteins and the corresponding relationship between the genes and the proteins; a heterogeneous graph Transform module is constructed, and embedding of a target node is generated according to the heterogeneous graph Transform module and the heterogeneous network of the gene and the protein; and constructing a full-connection layer classification module, generating a cancer driver gene prediction result according to the full-connection layer classification module and the embedding of the target node, and analyzing the cancer driver gene prediction result. According to the method, the incidence relation between entities in different biological net