Author

George M. Church

Harvard UniversityORCID 0000-0002-0775-2913Unclaimed ORCID profile · follow to get notified of new preprints

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George M. Church10 papers

Biology Disciplines

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Cell Biology· 1 Evolutionary Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Denitsa MilanovaiD· 2 shared Alex Skrynnyk· 1 shared Ali BashiriD· 1 shared Andreea Gane· 1 shared Andrei H GheorgheiD· 1 shared Anubhav SinhaiD· 1 shared Asmamaw T. Wassie· 1 shared Barsha PokhareliD· 1 shared

Activity by Year

2018-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersSystems Biology

Denitsa MilanovaORCID

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3 papers

Recent·Most cited

Inference and validation of causal genetic interactions in aging human fibroblasts

Madison S. Krieger, Denitsa Milanova, David Alan Thompson, Nadire R. Cochran, Tongyao Wang, Barsha Pokharel, Robert P Ford, Andrei H Gheorghe, William Gilpin, Yoav Freund, George Sugihara, George M. Church

This paper uses convergent cross mapping to infer causal genetic interactions from cross-sectional transcriptomic data of aging human fibroblasts and validates these interactions experimentally.

bioRxiv · Oct 23, 2026 · PreprintSystems Biology

A Vast Navigable Protein Sequence Subspace

Sam Sinai, Andreea Gane, Nina K. Jain, Drew Bryant, Maxwell L. Bileschi, Ali Bashir, George M. Church, Eric D. Kelsic, Lucy J. Colwell

The paper maps the genome packaging landscape of AAV2 capsid protein using high-throughput synthesis and machine learning, revealing navigable subspaces of functionally viable sequences.

bioRxiv · Oct 22, 2026 · PreprintEvolutionary Biology

Barcoded oligonucleotides ligated on RNA amplified for multiplex and parallel in-situ analyses

Eswar P. R. Iyer, Sukanya Punthambaker, Songlei Liu, Kunal Jindal, Michael Farrell, Jernej Murn, Thomas Ferrante, Stewart Rudnicki, Richie E. Kohman, Asmamaw T. Wassie, Daniel Goodwin, Fei Chen, Shahar Alon, Anubhav Sinha, Denitsa Milanova, , George M. Church

The paper introduces BOLORAMIS, a RT-free method for spatially-resolved, targeted in-situ RNA detection, and demonstrates its use on human iPSCs to identify spatial localization and expression heterogeneity.

bioRxiv · Mar 20, 2018 · PreprintCell Biology