In order to quantify the spatial heterogeneity of tumors at the single cell level,the spatial transcriptomic dataset of breast cancer on the 10×Genomics platform was selected as the study object,and deep graph infomax(DGI)model was used to cluster breast cancer cells.The results showed that the DGI algorithm showed good clustering performance,and the adjusted Rand index reached 0.55.The clustering results were close to manual annotation stratification,the boundary was smooth,and the breast cancer marker genes and differentially expressed genes between cluster 4 and cluster 8 were well identified.The enrichment results showed that these genes were closely related to the occurrence and development of breast cancer.The results of this analysis may provide new insights into the diagnosis and prognosis of breast cancer by identifying markers for clinical diagnosis and treatment of breast cancer patients.
breast cancerclusteringmarker genedifferential gene
万方数据
维普
