The application provides a tissue-specific
expression gene identification method and
system based on three-dimensional space
transcriptome, and belongs to the field of
gene identification. The method comprises the following steps: obtaining three-dimensional space
transcriptome data of a target biological individual at multiple continuous development stages, wherein the three-dimensional space
transcriptome data comprises
cell three-dimensional coordinates,
cell annotation data and
gene expression information; calculating a comprehensive tissue-specific
score of each
gene by using at least two parameters in a spatial expression concentration, a
cell composition correction specificity parameter, a cross-development
phase stability parameter and a significance parameter; and identifying genes of the target biological
individual based on the corresponding comprehensive tissue-specific
score of each gene to obtain tissue-specific expression genes. The application can effectively improve the identification accuracy of tissue-specific genes.