Author

M. C. Lau

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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Immunology· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Organism:human· 3 Approach:deep learning· 2 Research Focus:differential expression· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1

Frequent Co-Authors

J. Yeong· 2 shared A. B. Azam· 1 shared A. d. Silva· 1 shared A. Dias Costa· 1 shared A. Larbi· 1 shared A. Singhal· 1 shared A. Takano· 1 shared A. Tay· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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2 shared papersImmunology

J. Yeong

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Comparing virtual staining artificial intelligence model performance on same-tissue versus serial-tissue sections based on CD3+ T-cell ground truth

A. B. Azam, F. Wee, J. Väyrynen, W. W.-Y. Lim, Y. Xue, B. L. Chua, J. Lim, D. Tan, A. Takano, C. Y. Chow, L. Y. Khor, T. Lim, J. Yeong, M. C. Lau, Y. Cai

This study compares a virtual staining AI model's performance on same-tissue versus serial-tissue sections using CD3+ T-cell ground truth, finding better performance with same-tissue data.

bioRxiv · Nov 12, 2023 · PreprintImmunology

Proliferative and quiescent human gastric cancer stem-like cells are associated with differential chemoresistance and patient mortality

K. S. Ang, H. K. Lee, M. Chevrier, M. Goh, J. Ling, V. Koh, X. Zhang, J. C. Tan, N. Lee, S. Erdal Irac, Z. M. Lim, J. Lum, A. Tay, C. Antoine Dutertre, C. Tang, , J. Chen

This study identifies two stem-like gastric cancer subpopulations with distinct chemoresistance and survival outcomes using scRNA-seq and organoid models.

bioRxiv · Oct 23, 2020 · PreprintImmunology

Tumor-Immune Partitioning and Clustering (TIPC) algorithm reveals distinct signatures of tumor-immune cell interactions within the tumor microenvironment

M. C. Lau, J. Borowsky, J. P. Vayrynen, K. Haruki, M. Zhao, A. Dias Costa, S. Gu, A. d. Silva, K. Arima, J. Yeong, K. D. Felt, T. Hamada, R. Nishihara, J. K. Lennerz, C. S. Fuchs, , J. A. Nowak

The paper introduces TIPC, a computational algorithm that identifies tumor-immune spatial patterns in colorectal cancer, linking them to patient survival and tumor features.

bioRxiv · May 29, 2020 · PreprintCancer Biology