Author

Airol A. Ubas

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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Genomics· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Research Focus:perturbation response prediction· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Daniele MericoiD· 2 shared Hani GoodarziiD· 2 shared Johnny X. YuiD· 2 shared Nicole Thomas· 2 shared Nima Alidoust· 2 shared Umair KhaniD· 2 shared Valentine SvenssoniD· 2 shared Aidan F. WintersiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

Daniele MericoORCID

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2 papers

Recent·Most cited

Back to basics: Observed statistics are sufficient to predict drug responses

Valentine Svensson, Umair Khan, Hamed Heydari, Airol A. Ubas, Nicole Thomas, Daniele Merico, Hani Goodarzi, Johnny X. Yu, Nima Alidoust, Shreshth Gandhi

The paper introduces Rhaister, a perturbation-response predictor that uses summary statistics to predict drug responses, outperforming virtual-cell models in speed and accuracy.

bioRxiv · Jun 12, 2026 · PreprintGenomics

Tahoe-100M: A Giga-Scale Single-Cell Perturbation Atlas for Context-Dependent Gene Function and Cellular Modeling

Jesse M. Zhang, Airol A. Ubas, Richard de Borja, Valentine Svensson, Nicole Thomas, Neha Thakar, Ian K. Lai, Aidan F. Winters, Umair Khan, Matthew G. Jones, John D. Thompson, Vuong Tran, Joseph Pangallo, Efthymia Papalexi, Ajay Sapre, , Johnny X. Yu

A 100-million-cell atlas: 50 cancer lines pooled as spheroid villages, treated with 379 drugs at several doses, profiled by combinatorial-barcoding scRNA-seq and embedded with a 10-dimensional scVI model.

bioRxiv · Feb 20, 2025 · PreprintGenomics✦ In-depth digest