Author

A. Imamovic

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

Cancer Biology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:bulk RNA-seq· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

E. M. Van Allen· 2 shared J. Park· 2 shared A. Cheung· 1 shared A. S. Feldman· 1 shared A. Sadagopan· 1 shared B. A. McGregor· 1 shared B. Reardon· 1 shared C. J. Wu· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 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 papersCancer Biology

E. M. Van Allen

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Integrative Clinical and Molecular Characterization of Translocation Renal Cell Carcinoma

Z. Bakouny, A. Sadagopan, P. Ravi, N. Y. Metaferia, J. Li, S. AbuHammad, S. Tang, T. Denize, E. R. Garner, X. Gao, D. A. Braun, L. Hirsch, J. A. Steinharter, G. Bouchard, E. Walton, , S. R. Viswanathan

This study characterizes translocation renal cell carcinoma (tRCC) through integrated clinical and molecular analysis of 152 patients, identifying key features like MiT/TFE fusions, NRF2-driven antioxidant response, and differential treatment outcomes.

bioRxiv · Apr 14, 2021Cancer Biology

Clinical interpretation of integrative molecular profiles to guide precision cancer medicine

B. Reardon, N. D. Moore, N. Moore, E. Kofman, S. Aldubayan, A. Cheung, J. Conway, H. Elmarakeby, A. Imamovic, S. C. Kamran, T. Keenan, D. Keliher, D. J. Konieczkowski, D. Liu, K. Mouw, , E. M. Van Allen

This paper introduces MOAlmanac, a clinical interpretation algorithm that integrates genomic and transcriptional data to improve precision cancer treatment decisions by considering second-order molecular features.

bioRxiv · Sep 22, 2020Cancer Biology