Author

Michael M. Geng

The University of Texas at Austin

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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Bioinformatics· 1

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Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:mouse· 1 Research Focus:protein design· 1 Research Focus:protein structure prediction· 1 Assay:Ribo-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Can CenikiD· 1 shared Dayea Park· 1 shared Dinghai ZhengiD· 1 shared Elif Sarinay CenikiD· 1 shared Hakan ÖzadamiD· 1 shared Ian HoskinsiD· 1 shared Jonathan Chacko· 1 shared Jun Wang· 1 shared

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2025-2025 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

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1 paper

Recent·Most cited

Translation efficiency covariation across cell types is a conserved organizing principle of mammalian transcriptomes

Yue Liu, Shilpa J Rao, Ian Hoskins, Michael M. Geng, Qiuxia Zhao, Jonathan Chacko, Vighnesh Ghatpande, Kangsheng Qi, Logan Persyn, Jun Wang, Dinghai Zheng, Yochen Zhong, Dayea Park, Elif Sarinay Cenik, Vikram Agarwal, , Can Cenik

The paper analyzes ribosome profiling data to show translation efficiency covariation (TEC) is conserved across human and mouse cells, revealing gene functions not evident from RNA or protein co-expression.

Nature Biotechnology · Jul 25, 2025Peer-reviewedBioinformatics