Author

Ruiqi Xin

University of California, Los Angeles

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 Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:ATAC-seq· 1 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1 Assay:proteomics· 1

Frequent Co-Authors

Christian B. MacdonaldiD· 1 shared Gabriella O. EstevamiD· 1 shared Guoping FengiD· 1 shared Harold PimenteliD· 1 shared James S. FraseriD· 1 shared Jingyou RaoiD· 1 shared Joshua R. SanesiD· 1 shared Junqiang WangiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperBioinformatics

Christian B. MacdonaldORCID

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2 papers

Recent·Most cited

Evolutionary and Developmental Specialization of Foveal Cell Types in the Marmoset

Lin Zhang, Martina Cavallini, Junqiang Wang, Ruiqi Xin, Qiangge Zhang, Guoping Feng, Joshua R. Sanes, Yi‐Rong Peng

This study profiles marmoset foveal and peripheral retinal cells across development, revealing conserved cell types and distinct molecular maturation paths.

Proceedings of the National Academy of Sciences · Apr 10, 2024Peer-reviewedNeuroscience

Rosace: a robust deep mutational scanning analysis framework employing position and mean-variance shrinkage

Jingyou Rao, Ruiqi Xin, Christian B. Macdonald, Matthew K. Howard, Gabriella O. Estevam, Sook Wah Yee, Mingsen Wang, James S. Fraser, Willow Coyote‐Maestas, Harold Pimentel

Rosace improves analysis of deep mutational scanning data by using Bayesian shrinkage and position information, outperforming existing methods in simulations and real data.

bioRxiv · Oct 24, 2023 · PreprintBioinformatics