Author

Zhen Xie

Argonne National LaboratoryPrimary ORCID profile (0000-0001-8798-9592 · 6 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Zhen XieiD6 papers · Beijing National Research Center for Information Science and Technology

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:large language model· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Organism:virus· 1

Frequent Co-Authors

Alexander BraceiD· 1 shared Alireza Khatamian· 1 shared Animashree AnandkumariD· 1 shared Arash VahdatiD· 1 shared Arvind RamanathaniD· 1 shared Austin ClydeiD· 1 shared Bharat KaleiD· 1 shared Bin ZhangiD· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Alexander BraceORCID

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Author profile →

2 papers

Recent·Most cited

GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics.

Maxim Zvyagin, Alexander Brace, Kyle Hippe, Yuntian Deng, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael Irvin, Defne Gorgun, Natalia Vassilieva, J. Gregory Pauloski, , Arvind Ramanathan

GenSLMs use large language models to analyze SARS-CoV-2 genomes, enabling rapid identification of variants of concern and providing insights into evolutionary dynamics.

The International Journal of High Performance Computing Applications · Oct 27, 2023Peer-reviewedBioinformatics

scMINER: a mutual information-based framework for identifying hidden drivers from single-cell omics data

Liang Ding, Hao Shi, Chenxi Qian, Chad Burdyshaw, Joao Pedro Veloso, Alireza Khatamian, Qingfei Pan, Yogesh Dhungana, Zhen Xie, Isabel Risch, Xu Yang, Xin Huang, Lei Yan, Michael Rusch, Michael Brewer, , Jiyang Yu

scMINER identifies hidden drivers and network rewiring in single-cell RNA-seq data using mutual information, outperforming existing methods in clustering and network inference.

bioRxiv · Jan 26, 2023 · PreprintSystems Biology