Author

J. Leskovec

h-index 152 View on Semantic Scholar

We have 2 of 473 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Aug 2026

Predicting cellular responses to perturbation across diverse contexts with State.

The performance and flexibility of State set the stage for scaling the development of AI models of cell state, a machine learning model that predicts perturbation effects while accounting for cellular heterogeneity within and across experiments.

Abhinav K. Adduri, Dhruv Gautam, Beatrice Bevilacqua et al. · Cell · 4 citations

Open access Aug 2026

Perturb-ME: Scalable mechanism discovery from phenotype-enriched genome-wide screens

Perturb-ME, along with agentic interpretation, provide a scalable framework for comprehensive functional discovery from phenotype-enriched genetic screens and combines genome-scale CRISPR screening, phenotype-based enrichment and multimodal single-cell profiling.

Han-Chen Wang, Jiacheng Gu, Chris J. Frangieh et al. · bioRxiv · 0 citations