Author

Pui Yeng Lam

The University of QueenslandORCID 0000-0003-4031-367XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 2 Organism:human· 2 Organism:mouse· 2 Assay:spatial transcriptomics· 2 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Arti M. RaghubariD· 2 shared Laura F. GriceiD· 2 shared Quan Hoang NguyeniD· 2 shared Sohye YooniD· 2 shared Xiao TaniD· 2 shared Alexander N. CombesiD· 1 shared Andrew J. KassianosiD· 1 shared Andrew John MallettiD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersBioinformatics

Arti M. RaghubarORCID

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2 papers

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedNov 25, 2023

stLearn: integrating spatial location, tissue morphology and gene expression to find cell types, cell-cell interactions and spatial trajectories within undissociated tissues

Duy Pham, Xiao Tan, Brad Balderson…·Quan Hoang Nguyen

744 citationstop 1%

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Molecular BiologybioRxivPreprintSep 29, 2020

Spatially resolved transcriptome profiles of mammalian kidneys illustrate the molecular complexity of functional nephron segments, cell-to-cell interactions and genetic variants.

Arti M. Raghubar, Duy T. Pham, Xiao Tan…·Andrew John Mallett

This study uses spatial transcriptomics to analyze human and mouse kidney tissues, identifying gene expression patterns, nephron segments, cell interactions, and genetic variants while preserving spatial context.

5 citations

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