1 citations · 1 across the 1 of their papers we have counts for
3 papers
scBench-Long: Verifiable Benchmarking of Long-Horizon Single-Cell Biology
Ian Diks, Zhen Yang, Arjun Banerjee +2
Single-cell studies require analysts to convert raw measurements into specific biological claims through multi-step workflows and integration of metadata, assay context, and auxili…
scBench: Evaluating AI Agents on Single-Cell RNA-seq Analysis
Kenny Workman, Zhen Yang, Harihara Muralidharan +2
As single-cell RNA sequencing datasets grow in adoption, scale, and complexity, data analysis remains a bottleneck for many research groups. Although frontier AI agents have improv…
SpatialBench: Can Agents Analyze Real-World Spatial Biology Data?
Kenny Workman, Zhen Yang, Harihara Muralidharan +1
Spatial transcriptomics assays are rapidly increasing in scale and complexity, making computational analysis a major bottleneck in biological discovery. Although frontier AI agents…