Author

Ashley A. Cass

Ambry Genetics (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

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:software / tool· 2 Approach:contrastive learning· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:perturbation response prediction· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Aaron R. CooperiD· 1 shared Adam Barner· 1 shared Alexander Y. Tchourbanov· 1 shared Alicia B. ByrneiD· 1 shared Allyson J. MerrelliD· 1 shared Amanda B. SpurdleiD· 1 shared Amanda S. LindyiD· 1 shared Amaro N Taylor-WeineriD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Aaron R. CooperORCID

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Author profile →

2 papers

Recent·Most cited

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

APPLICATION OF THE ACMG/AMP FRAMEWORK TO CAPTURE EVIDENCE RELEVANT TO PREDICTED AND OBSERVED IMPACT ON SPLICING: RECOMMENDATIONS FROM THE CLINGEN SVI SPLICING SUBGROUP

Logan C. Walker, Miguel de la Hoya, George A. R. Wiggins, Amanda S. Lindy, Lisa M. Vincent, Michael T. Parsons, Daffodil M. Canson, Dana M. Bis‐Brewer, Ashley A. Cass, Alexander Y. Tchourbanov, Heather Zimmermann, Alicia B. Byrne, Tina F. Pesaran, Rachid Karam, Steven M. Harrison, Amanda B. Spurdle

The paper refines ACMG/AMP splicing variant classification codes using empirical evidence to improve consistency in variant pathogenicity classification.

medRxiv · Feb 24, 2023 · PreprintGenetic & Genomic Medicine