The application discloses a
cancer gene mining
analysis method based on a ceRNA network, and steps are as follows:
gene expression data and
pathological images of patients suffering from target
cancer and patients without diseases are acquired; relevant
pathological images are processed, nuclear level features of
cell nuclei
cut by the
pathological images are extracted, and the nuclear level features are taken as WSI features; a ceRNA network reflecting connection relationships between different RNAs is constructed according to the
gene expression data; a
sparse matrix of different
RNA pairs is established, and Pearson
correlation coefficient solving is performed on the WSI features and mRNA data; JSNMCNMF
algorithm is used to integrate four parts of WSI, mRNA, miRNA and lncRNA data, and the relationship between mRNA and WSI is obtained; and KJMCNMF
algorithm is used to acquire hidden connection relationships in the ceRNA network. The method of the application firstly constructs the relationship between genes and pathological images, and provides a new direction for
cancer research.