Author

Grace Tan Su-En

Nanyang Technological University

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Organism:human· 1 Assay:imaging· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

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Duoduo WuiD· 1 shared Jinmiao CheniD· 1 shared Joe Yeong Poh Sheng· 1 shared Josh Loh Jie Hua· 1 shared Marion Chevrier· 1 shared Tony Lim Kiat Hon· 1 shared

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2019-2019 · peak 1/yr

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1 shared paperBioinformatics

Duoduo WuORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 15, 2019

Comparison Between UMAP and t-SNE for Multiplex-Immunofluorescence Derived Single-Cell Data from Tissue Sections

Duoduo Wu, Joe Yeong Poh Sheng, Grace Tan Su-En…·Jinmiao Chen

The paper compares UMAP and t-SNE for analyzing multiplex-immunofluorescence single-cell data from HCC tissues, finding UMAP faster and better at highlighting biological lineages like hybrid tumor cells.

21 citations

humanspatial transcriptomics

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