The invention provides a method for detecting PD-L1 expression in circulating
tumor cells, and belongs to the technical field of bioinformation.The method comprises the steps that
peripheral blood samples are collected from at least 100 groups of patients, the circulating
tumor cells are separated through
density gradient centrifugation, specific labeling is carried out through anti-
epithelial cell adhesion molecule antibodies and anti-PD-L1
fluorescence labeling antibodies, and then the
peripheral blood samples are subjected to
fluorescence labeling; then, a flow cytometer is used for obtaining multi-dimensional
fluorescence signals for quantitative analysis, and a multi-dimensional characteristic
data set containing time characteristics, intensity characteristics and
spatial distribution characteristics is constructed; based on the historical data, a multi-head attention enhanced adversarial generative
network model containing eight independent attention heads is constructed and trained, key hyper-parameters in the training process are dynamically adjusted through a parameter optimization function, and finally the expression level of the circulating
tumor cells PD-L1 in a to-be-detected sample is quantitatively analyzed by applying the trained model. The high-precision detection of the expression of the circulating tumor cells PD-L1 is realized.