Author

Jie Zhai

Stanford 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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Genomics· 1

Signature Assays, Organisms & Methods

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Assay:ChIP-seq· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Annika K K WeimeriD· 1 shared Anshul Bharat KundajeiD· 1 shared Belle A. MoyersiD· 1 shared E. Christopher Partridge· 1 shared Eric M. MendenhalliD· 1 shared Fabian Grubert· 1 shared Jay X. J. LuoiD· 1 shared Jessika AdrianiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Annika K K WeimerORCID

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1 paper

Recent·Most cited

Comparative atlas of genome-wide chromatin-associated protein co-occupancy

Shannon M. White, Belle A. Moyers, Tao Wang, Mark Mackiewicz, Annika K K Weimer, Fabian Grubert, Vivekanandan Ramalingam, Jay X. J. Luo, Lixia Jiang, Minyi Shi, Xinqiong Yang, Tristan Chou, Jie Zhai, Konor von Kraut, Jessika Adrian, , Michael P. Snyder

The paper identifies cell type-specific and shared chromatin-associated protein co-association modules using ChIP-Seq and machine learning in K562 and HepG2 cells.

bioRxiv · Dec 17, 2024 · PreprintGenomics