The invention discloses a cloned hematopoietic multi-
phenotype genetic
big data driven
cancer suppression
target gene prediction method, which comprises the following steps: acquiring a cloned hematopoietic multi-
phenotype genetic
big data set which comprises a plurality of different cloned hematopoietic phenotypes, genetic regulation evidence and
gene interaction evidence; a candidate
target gene-clone hematopoietic multi-
phenotype prediction matrix is constructed by analyzing genetic regulation evidence and
gene interaction evidence, and the prediction matrix comprises candidate
target gene data under different clone hematopoietic phenotypes and is used for evaluating the importance of each candidate target
gene in different clone hematopoietic phenotypes; according to the prediction matrix, in combination with genetic regulation evidence and
gene interaction evidence, performing priority
ranking on candidate target genes to obtain cloned hematopoietic genetic target gene leader recommendation, and obtaining a leader recommendation target
gene list; and obtaining a genetic target gene recommendation map according to the leader recommendation target
gene list, and comparing the genetic target gene recommendation map with an immune
disease map to obtain a
list of target genes capable of being intervened.