Author

Bryant Duong

The Wistar Institute

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 Cancer Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 3 Research Focus:benchmarking· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

Anastasia Lucas· 2 shared Jayamanna M. Wickramasinghe· 2 shared Noam AuslanderiD· 2 shared Abdurrahman ElbasiriD· 1 shared Ahmed M. MoustafaiD· 1 shared Alexander Chan Chi HuangiD· 1 shared Andrew PattersoniD· 1 shared Avi SrivastavaiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 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 papersBioinformatics

Anastasia Lucas

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

X-SPEAR: An Extensible Framework for Spatial Panel Evaluation and Refinement

Rushil Patel, Bryant Duong, Veer Patel, Rachel Lyn-Sue, Kyungbin Oh, Yuyan Cheng

X-SPEAR improves spatial transcriptomics panel design by integrating detection-aware marker selection and probe-level off-target assessment, achieving higher accuracy with fewer genes.

bioRxiv · Oct 20, 2026 · PreprintGenomics

A phylogeny-guided framework for decoding mechanisms of human endogenous retrovirus regulation in health and disease

Andrew Patterson, Bryant Duong, Leena Yoon, Maya Foster, Lauren N. MacMullen, Jayamanna M. Wickramasinghe, Anastasia Lucas, Avi Srivastava, Steven Jacobson, Maureen E. Murphy, Samantha S. Soldan, Paul M. Lieberman, Noam Auslander

ERVmancer is a phylogeny-informed method that resolves read-mapping ambiguity for HERVs, outperforming existing approaches and revealing new biology in breast cancer.

bioRxiv · May 21, 2026 · PreprintBioinformatics

Taxonomy-free fecal microbiome profiles enable robust prediction of immunotherapy response and toxicity in melanoma

Anastasia Lucas, McKenna Reale, Yuri I. Wolf, Bryant Duong, Yichi Zhang, Jayamanna M. Wickramasinghe, Lindsey Behlman, Steven M. Jones, Stephanie Higgins, Ahmed M. Moustafa, Abdurrahman Elbasir, Ravi K. Amaravadi, Tara C. Mitchell, Alexander Chan Chi Huang, Noam Auslander

This study identifies microbiome-derived protein biomarkers for predicting immunotherapy response and toxicity in melanoma without relying on taxonomic classification.

bioRxiv · Nov 6, 2025 · PreprintCancer Biology