Author

Yuntian Fu

Harvard UniversityPrimary ORCID profile (0000-0002-7092-2671 · 4 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Yuntian FuiD4 papers · University of Pennsylvania

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Assay:proteomics· 1 Research Focus:software / tool· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Arpan SarkariD· 1 shared Chee-Huat Linus Eng· 1 shared Feng BaoiD· 1 shared Guo‐Cheng YuaniD· 1 shared Huipeng LiiD· 1 shared Kan LiuiD· 1 shared Long CaiiD· 1 shared Nico G PiersoniD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Arpan SarkarORCID

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1 paper

Recent·Most cited

Giotto, a toolbox for integrative analysis and visualization of spatial expression data

Ruben Dries, Qian Zhu, Rui Dong, Chee-Huat Linus Eng, Huipeng Li, Kan Liu, Yuntian Fu, Tianxiao Zhao, Arpan Sarkar, Feng Bao, Rani E. George, Nico G Pierson, Long Cai, Guo‐Cheng Yuan

Giotto is a toolbox for analyzing and visualizing spatial transcriptomic and proteomic data, offering integration with single-cell RNA-seq and supporting diverse datasets.

Genome biology · Mar 8, 2021Peer-reviewedBioinformatics