Zirui Wang

The paper develops a breast cancer prognostic model and nomogram using LASSO Cox analysis and evaluates tumor microenvironment and drug sensitivity differences between subgroups.

HarmoDecon mitigates multi-scale biases in spatial cell-type deconvolution by using a semi-supervised deep learning model, improving accuracy in spatial domain clustering and marker gene correlations.

stDyer improves spatial domain clustering in SRT data by combining GMVAE and GATs with dynamic graphs and mini-batch sampling, outperforming existing methods.