Author

Chun Li

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Open access Oct 2026

Explainable t-SNE for Single-Cell RNA-seq Data Analysis: A Cell-Driven Information Fusion Framework

Single-cell RNA sequencing fundamentally depends on defining cell–cell similarity to resolve distinct cell states. However, conventional dimensional-reduction frameworks such as t-SNE and UMAP inherently rely on Euclidean geometry, a construct ill-suited for high-dimensional, sparse count matrices, and produce cluster...

Henry Han, Tian-Yun Zhang, Lu-Yu Niu et al. · bioRxiv · 0 citations

#diffusion models Open access Oct 2026

A dual-tower multimodal framework with feature quality enhancement for predicting pathological complete response after neoadjuvant chemotherapy in breast cancer: a multicenter study.

BACKGROUND Pathological complete response (pCR) is a key endpoint following neoadjuvant chemotherapy (NAC) in breast cancer, with potential to guide treatment adaptation and surgical de-escalation. However, limited generalizability across institutions remains a major challenge due to heterogeneous imaging protocols (sc...

Yong-Xi Ke, Wen-Yu Yang, Zi-Xuan Yang et al. · Translational Oncology · 0 citations