Author

Michael Rosenberg

Bar-Ilan University

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· 1 Cancer Biology· 1 Genomics· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1

Frequent Co-Authors

Albert J. Fornace· 1 shared Alexander MarsoniD· 1 shared Alexandra Maertens· 1 shared Alexis TalbotiD· 1 shared Alvin S. HaiD· 1 shared Ayal HendeliD· 1 shared Barry Kesner· 1 shared Brian Rudolph ShyiD· 1 shared

Activity by Year

2016-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperBioinformatics

Albert J. Fornace

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Author profile →

4 papers

Recent·Most cited

Development of a Fully Non-Viral 1XX-enhanced BCMA CAR-T Cell Therapy for Multiple Myeloma

Alexis Talbot, K Li, Jae Hyun J. Lee, Shanshan Lang, Chang Liu, Nechama Kalter, Zhongmei Li, Yasaman Mortazavi, Niran Almudhfar, Joseph J. Muldoon, Vincent Allain, William A. Nyberg, Jing-Yi Chung, Charlotte Wang, Zhongxia Qi, , Brian Rudolph Shy

This paper develops a non-viral BCMA CAR-T therapy using CRISPR and 1XX signaling, showing improved safety, potency, and persistence in multiple myeloma.

bioRxiv · May 5, 2026 · PreprintCancer Biology

Re-analysis of CLAP data affirms PRC2 as an RNA binding protein

YongWoo Lee, Priyojit Das, Barry Kesner, Michael Rosenberg, Roy Blum, Jeannie T. Lee

This paper re-analyzes CLAP data and finds PRC2 is an RNA binding protein, contradicting previous conclusions due to issues in the original analysis pipeline.

bioRxiv · Sep 19, 2024 · PreprintGenomics

Efficient DNA-based data storage using shortmer combinatorial encoding

Inbal Preuss, Michael Rosenberg, Zohar Yakhini B, Leon Anavy

This paper introduces a combinatorial DNA encoding method for data storage, achieving 6.5x higher density and near-zero reconstruction error through shortmer-based alphabets and error correction.

Scientific Reports · Apr 2, 2024Peer-reviewedSynthetic Biology

Information-dependent Enrichment Analysis Reveals Time-dependent Transcriptional Regulation of the Estrogen Pathway of Toxicity

Salil N. Pendse, Alexandra Maertens, Michael Rosenberg, Dipanwita Roy, Rick A. Fasani, Marguerite M. Vantangoli, Samantha J. Madnick, Kim Boekelheide, Albert J. Fornace, James D. Yager, Thomas Hartung, Melvin E. Andersen, Patrick D. McMullen

This paper introduces IDEA, a novel enrichment analysis method to identify transcription factor networks involved in estrogen pathway toxicity, showing improved performance over existing methods.

bioRxiv · Feb 4, 2016Bioinformatics