Author

Ayelet Alpert

Technion – Israel Institute of Technology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Systems Biology· 4 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 5 Research Focus:differential expression· 4 Organism:human· 4 Assay:bulk RNA-seq· 3 Research Focus:gene regulatory network inference· 3 Research Focus:cell type annotation· 2 Research Focus:trajectory inference· 2 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Shai S. Shen-OrriD· 5 shared Elina Starosvetsky· 3 shared Neta MilmaniD· 3 shared Tania Dubovik· 2 shared Yishai OfraniD· 2 shared Adir Katz· 1 shared Alexandra Blatt· 1 shared Amir Grau· 1 shared

Activity by Year

2018-2025 · peak 2/yr

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10 top collaborators · 25 mutual co-author links

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5 shared papersSystems Biology

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5 papers

Recent·Most cited

A systems approach to B-cell development identifies BDNF as a regulator of human B lymphopoiesis

Neta Nevo, Yuval Klein, Ayelet Alpert, Amir Grau, Doron Melamed, Timothy J Few-Cooper, Neta Milman, Shai S. Shen-Orr

This study identifies BDNF as a regulator of human B lymphopoiesis using a systems biology approach integrating single-cell transcriptomics and intercellular communication mapping.

bioRxiv · Aug 29, 2025 · PreprintSystems Biology

A personalized network framework reveals predictive axis of anti-TNF response across diseases

Shiran Gerassy-Vainberg, Elina Starosvetsky, Renaud Gaujoux, Alexandra Blatt, Naama Maimon, Yuri Gorelik, Sigal Pressman, Ayelet Alpert, Haggai Bar‐Yoseph, Tania Dubovik, Benny Perets, Adir Katz, Neta Milman, Meital Segev, Yehuda Chowers, Shai S. Shen-Orr

The paper introduces a computational framework to identify predictive drug response axes across diseases using blood data, finding the RAC1-PAK1 axis predicts anti-TNF response in inflammatory bowel disease and rheumatoid arthritis.

Cell Reports Medicine · Dec 19, 2023Peer-reviewedSystems Biology

Reconstructing disease dynamics for mechanistic insights and clinical benefit

Amit Frishberg, Neta Milman, Ayelet Alpert, Hannah Spitzer, Ben Asani, Johannes Benedikt Schiefelbein, Evgeny Bakin, Karen Regev-Berman, Siegfried Georg Priglinger, Joachim Ludwig Schultze, Fabian Joachim Theis, Shai S. Shen-Orr

The paper introduces TimeAx, an algorithm for analyzing disease progression dynamics using time-series data, identifying key molecular transitions and clinical insights in urothelial bladder cancer.

Nature Communications · Oct 27, 2023Peer-reviewedSystems Biology

High Resolution Comparison of Cancer-Related Developmental Processes Using Trajectory Alignment

Ayelet Alpert, Elina Starosvetsky, Michal Hayun, Yishai Ofran, Shai S. Shen-Orr

devMap enables comparison of cancer-related developmental processes across patients by aligning high-dimensional trajectories to a common backbone, revealing conserved signaling patterns in AML.

bioRxiv · Nov 14, 2018 · PreprintSystems Biology

Architecture of a multi-cellular polygenic network governing immune homeostasis

Tania Dubovik, Elina Starosvetsky, Benjamin LeRoy, Rachelly Normand, Yasmin Admon, Ayelet Alpert, Yishai Ofran, Max G’Sell, Shai S. Shen-Orr

The paper identifies a polygenic network governing immune homeostasis using mass-cytometry data from 55 mouse strains, showing 52% of trait genes predict phenotype and revealing multi-cellular regulatory complexity.

bioRxiv · Sep 23, 2018 · PreprintGenetics