Author

Adam Barner

Arsenal Biosciences (United States)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:perturbation response prediction· 2 Assay:scRNA-seq· 2 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Approach:diffusion model· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1

Frequent Co-Authors

Neal G. RavindraiD· 2 shared Aaron R. CooperiD· 1 shared Adam J. LittermaniD· 1 shared Allyson J. MerrelliD· 1 shared Amaro N Taylor-WeineriD· 1 shared Andrea Fua· 1 shared Andrew Cardozo· 1 shared Angela C. BoroughsiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersSystems Biology

Neal G. RavindraORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

X-Cell: Scaling Causal Perturbation Prediction Across Diverse Cellular Contexts via Diffusion Language Models

Chloe Wang, Mehran Karimzadeh, Neal G. Ravindra, Lexi R. Bounds, Nader Alerasool, Ann Huang, Shihao Ma, Daniel R. Gulbranson, Haotian Cui, Yongju Lee, Anusuya Arjavalingam, Elliot J. MacKrell, Matthew S. Wilken, Jieming Chen, Benjamin W. Herken, , Bo Wang

X-Cell predicts causal perturbation responses across diverse cellular contexts using a diffusion language model trained on a large CRISPRi Perturb-seq dataset.

bioRxiv · Mar 20, 2026 · PreprintSystems Biology

DINOcell: Learning Generalizable Perturbation Effects through Self-Distillation

Jonathan Li, Nilgun Tasdemir, Sofia Kyriazopoulou-Panagiotopoulou, Sophie Xu, Allyson J. Merrell, Josephine Susanto, Ashley A. Cass, David DeTomaso, Holly Steach, Julie C. Chow, Li Wang, Neal G. Ravindra, Aram Kang, Grace X. Y. Zheng, Mary Chua, , Amaro N Taylor-Weiner

DINOcell predicts cellular responses to perturbations using self-distillation in single-cell transcriptomics, outperforming baselines for single and combination gene effects.

bioRxiv · Dec 19, 2025 · PreprintBioinformatics