Ke Ni

Ke Ni

he/him

Applied Scientist at Amazon. The Joint CMU–Pitt Ph.D. Program in Computational Biology (CPCB). I work on multimodal models, LLMs, computer vision, and AI for science.

Robust and Accurate Doublet Detection of Single-Cell Sequencing Data via Maximizing Area Under Precision-Recall Curve

Published in BioRxiv (in submission), 2025

Co-authored paper, in submission.

Recommended citation: Yanshuo Chen, Xidong Wu, Ke Ni, Haoran Hu, Molin Yue, Wei Chen, Heng Huang. (in submission). Robust and Accurate Doublet Detection of Single-Cell Sequencing Data via Maximizing Area Under Precision-Recall Curve. BioRxiv.