Author

Irene Unterman

Hebrew University of JerusalemORCID 0000-0002-5697-9612Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genomics· 2

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:statistical model· 3 Research Focus:deconvolution· 2 Assay:DNA methylation· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Benjamin P. BermaniD· 4 shared Amir EdeniD· 2 shared Efrat KatsmaniD· 2 shared Ahinoam Gugenheim· 1 shared Alaa DarwishiD· 1 shared Albert GrinshpuniD· 1 shared Aviad ZickiD· 1 shared Ayala Hubert· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersGenomics

Benjamin P. BermanORCID

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4 papers

Recent·Most cited

Improved deconvolution of circulating tumor DNA from ultra-low-pass whole-genome methylation sequencing using CelFiE-ISH

Efrat Katsman, Sara Isaac, Alaa Darwish, Myriam Maoz, Michal Inbar, MazalTov Marouani, Irene Unterman, Ahinoam Gugenheim, Nada Salaymeh, Shatha Abu Khdeir, Beatrice Uziely, Tamar Peretz, Luna Kaduri, Ayala Hubert, Jonathan E. Cohen, , Amir Eden

This study improves ctDNA deconvolution in ULP-WGS data using CelFiE-ISH, achieving lower cancer fraction detection limits than CNA benchmarks.

bioRxiv · Apr 18, 2026 · PreprintGenomics

Multi-cell type deconvolution using a probabilistic model for single-molecule DNA methylation haplotypes

Irene Unterman, Dana Avrahami, Efrat Katsman, Timothy Junius Triche, Benjamin Gläser, Benjamin P. Berman

This paper develops a probabilistic model for cell type deconvolution using single-molecule DNA methylation haplotypes, showing improved accuracy in detecting rare cell types.

Genome biology · Jun 10, 2024Peer-reviewedBioinformatics

A local sequence signature defines a subset of heterochromatin-associated CpGs with minimal loss of methylation in healthy tissues but extensive loss in cancer

Dror Bar, Lior Fishman, Yueyuan Zheng, Irene Unterman, Devorah Schlesinger, Amir Eden, De‐Chen Lin, Benjamin P. Berman

The paper identifies a sequence signature that predicts CpG methylation loss in healthy tissues and cancer, revealing slow-loss CpGs with minimal methylation loss in health but significant loss in cancer.

bioRxiv · Aug 16, 2022 · PreprintGenomics

Expanding the MECP2 network using comparative genomics reveals potential therapeutic targets for Rett syndrome

Irene Unterman, Idit Bloch, Simona Cazacu, Gila Kazimirsky, Benjamin P. Berman, Bruria Ben‐Zeev, Chaya Brodie, Yuval Tabach

This study uses comparative genomics to identify potential therapeutic targets for Rett syndrome by analyzing co-evolutionary relationships with MECP2 and testing drug candidates in neural cells.

eLife · Aug 6, 2021Peer-reviewedBioinformatics