Author

Rohan Bareja

Stanford UniversityORCID 0000-0002-0635-7743Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Alexander Martinez‐FundichelyiD· 1 shared Ana Molina· 1 shared Andrea SboneriD· 1 shared Anisha B. Tehim· 1 shared Benjamin J. RaphaeliD· 1 shared Brian D. RobinsoniD· 1 shared Chen Khuan WongiD· 1 shared Cora Nanette SternbergiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 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

1 shared paperGenetic & Genomic Medicine

Alexander Martinez‐FundichelyORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Genomic alterations in the YAP/TAZ pathway are associated with stem cell-like castration-resistant prostate cancer

Marjorie L. Roskes, Alexander Martinez‐Fundichely, Sandra M. Cohen, Metin Balaban, Chen Khuan Wong, Weiling Li, Tonatiuh A. Gonzalez, Anisha B. Tehim, Hao Xu, Shahd ElNaggar, Matthew A. Myers, Rohan Bareja, Princesca Dorsaint, Kathryn Gorski, Muhammad Imran Asad, , Ekta Khurana

The paper identifies genomic alterations in the YAP/TAZ pathway associated with stem cell-like castration-resistant prostate cancer using transcriptomic and whole-genome sequencing data.

medRxiv · Jul 1, 2025 · PreprintGenetic & Genomic Medicine

Integration of MRI radiomics and germline genetics to predict the IDH mutation status of gliomas

Taishi C. Nakase, George Henderson, Thomas Barba, Rohan Bareja, Geno Guerra, Qingyu Zhao, Stephen Starko Francis, Olivier Gevaert, Linda Kachuri

This study integrates MRI radiomics and germline genetics to predict IDH mutation status in gliomas, improving classification accuracy and prognostic risk assessment.

npj Precision Oncology · Jun 16, 2025Peer-reviewedGenetic & Genomic Medicine