Xiaomin Ni
Shenzhen University of Advanced Technology1 paperORCID 0000-0002-7769-8297OpenAlex
Papers
bioRxivIn silicoPreprint
Single-cell foundation models show task-dependent utility for aging biology research
A benchmark across 2.5 million single-cell transcriptomes reveals strengths in detecting rare cell states and gene networks, though simple gene sets…A benchmark across 2.5 million single-cell transcriptomes reveals strengths in detecting rare cell states and gene networks, though simple gene sets predicted age better.