Author

Averi Perny

The University of Texas Southwestern Medical Center

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· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:imaging· 2 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Approach:experimental assay· 1

Frequent Co-Authors

Satwik RajaramiD· 3 shared Gaudenz M. DanuseriD· 2 shared Payal KapuriD· 2 shared Vipul Nataraj JarmaleiD· 2 shared Alana L. ChristieiD· 1 shared Aleksandra W. NielseniD· 1 shared Bingying CheniD· 1 shared Bo-Jui ChangiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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3 shared papersBioinformatics

Satwik RajaramORCID

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Author profile →

3 papers

Recent·Most cited

A Visually Interpretable Histopathology-Based Immune Model Predicts T-effector Biology and Response to Immune checkpoint inhibition in Clear Cell Renal Cell Carcinoma Clinical Trial and Contemporary Real-World Datasets

Averi Perny, Vipul Nataraj Jarmale, Jay Jasti, Hua Zhong, Alana L. Christie, Jeffrey Miyata, Aleksandra W. Nielsen, Panayiotis Kontoyiannis, Dinesh Rakheja, Zora D. Modrusan, Mahrukh A. Huseni, Ward Kadel, James Brugarolas, Payal Kapur, Satwik Rajaram

The paper develops a deep learning model from H&E images to predict T-effector biology and ICI response in ccRCC, showing strong correlation with RNA-based scores and clinical outcomes.

bioRxiv · Sep 1, 2026 · PreprintBioinformatics

Delta Marches: Generative AI based image synthesis to decode disease-driving morphologic transformations.

Thuong Nguyen, Vandana Panwar, Vipul Nataraj Jarmale, Averi Perny, Cecilia Dusek, Qi Cai, Payal Kapur, Gaudenz M. Danuser, Satwik Rajaram

Delta-Marches uses generative AI to simulate morphological changes between disease classes, identifying subcellular features that drive disease progression in histopathological images.

bioRxiv · Mar 18, 2025 · PreprintBioinformatics

Caveolin-1 regulates context-dependent signaling and survival in Ewing Sarcoma.

Dagan Segal, Xiaoyu Wang, Hanieh Mazloom-Farsibaf, Felix Y. Zhou, Divya Rajendran, Erin B. Butler, Bingying Chen, Bo-Jui Chang, Khushi Ahuja, Averi Perny, Kushal Bhatt, Dana Kim Reed, Diego H. Castrillón, Jeon Lee, Elise C. Jeffery, , Gaudenz M. Danuser

This study identifies Caveolin-1 as a context-dependent regulator of survival signaling in Ewing Sarcoma, revealing a reversible CD99High state with enhanced survival.

bioRxiv · Sep 23, 2024 · PreprintCancer Biology