The application discloses a multi-
scale space transcriptome domain identification method based on a block
wavelet graph, and comprises the following steps: acquiring original
gene data of a space
transcriptome; pre-
processing the original
gene data to obtain processed
gene data; performing multi-scale
feature extraction on the processed gene data to obtain
feature data information; training a block-level model by using the
feature data information to obtain a trained block-level model; outputting a block reasoning result by using the trained block-level model, and performing clustering analysis after global recombination of the block reasoning result to obtain a space domain division result. The application can accurately capture cross-scale biological signals, break through hardware limitations, and realize efficient and accurate space
domain identification of super-large-scale µST data.