CANCER SUBTYPE CLASSIFICATION METHOD EMPLOYING MULTIOMICS INTEGRATION

摘要

The present application provides a cancer subtype classification method employing multiomics integration. The method comprises: acquiring target multiomics data of each patient in a target cancer patient group; calculating to obtain an omics similarity matrix; performing prediction on each omics similarity matrix to obtain a predicted similarity matrix; using the omics similarity matrix to correct the predicted similarity matrix, and acquiring a corrected matrix; performing weighted fusion to obtain a fusion matrix; and performing spectral clustering on the fusion matrix, and establishing a cancer subtype category label corresponding to the fusion matrix of each patient. The present application improves the accuracy of classification evaluation of cancer subtypes, while also using a more flexible integration method to classify patients, thereby improving the efficiency of data analysis, and facilitating research on cancer subtypes.