| abstract |
The invention discloses an automatic analysis method for flow cytometry data, which comprises the following steps: 1) using the BIC method to automatically identify clusters on the data to obtain the number of clusters contained in the data; 2) after obtaining the number of clusters, using the skew t Mixture models automatically cluster the data. The invention uses computer software to automatically and quickly analyze the flow cytometer data, has good tolerance for high outliers, can improve the repeatability and accuracy of data analysis, and reduces the influence of human subjective factors on the analysis results. The accuracy of the group information analysis results of the samples in the data is high, and the misjudgment rate of the flow cytometry data analysis results is low. And the present invention has wide application fields. |