Fuduan Peng

COSIE is a computational framework that integrates multiple spatial omics modalities to generate high-resolution molecular landscapes, outperforming existing methods across diverse datasets.

The paper develops DeMixNB, a deconvolution model for sparse-count RNA sequencing data, showing its utility in analyzing tumor cell plasticity in breast and lung cancer.

This study investigates the role of EMT in pancreatic cancer evolution and metastasis, showing that mesenchymal lineages drive chromosomal instability and clonal evolution.

METI integrates spatial transcriptomics and cell morphology to improve analysis of tumor microenvironments, showing consistent performance across multiple cancer types.