Author

J. Yeong

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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Cancer Biology· 3 Cell Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 5 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Research Focus:host-pathogen & immune response· 2

Frequent Co-Authors

M. C. Lau· 2 shared A. B. Azam· 1 shared A. CAMPOS· 1 shared A. d. Silva· 1 shared A. Dias Costa· 1 shared A. Jacobsen Skanderup· 1 shared A. Takano· 1 shared A. Wong· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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2 shared papersImmunology

M. C. Lau

Mutual co-authors in cluster

Author profile →

5 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

Regulation of Non-Canonical Proteins Encoded by Small Open Reading Frames via the Nonsense-Mediated Decay Pathway.

P. PERIASAMY, C. JOSEPH, A. CAMPOS, S. RAJANDRAN, C. Batho, J. E. Hudson, H. Sivakumaran, H. Kore, K. Datta, J. Yeong, H. Gowda

This study investigates how UPF1 knockdown affects non-canonical/mutant protein expression and reveals its role in suppressing neoantigen availability through the NMD pathway in cancer.

bioRxiv · Aug 26, 2023 · PreprintCell Biology

Data-driven inference of crosstalk in the tumor microenvironment

U. Ghoshdastider, M. M. Naeini, N. Rohatgi, E. Revkov, A. Wong, S. Solai, T. T. Nguyen, J. Yeong, J. Iqbal, P. H. Tan, B. Chowbay, R. DasGupta, A. Jacobsen Skanderup

The paper develops a data-driven method to deconvolute bulk tumor transcriptomes and predict cancer-stromal crosstalk in 20 solid tumor types, revealing new insights into signaling patterns.

bioRxiv · Jun 15, 2020 · PreprintCancer Biology

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

CD38 is a good predictor of anti-PD-1 immunotherapy responsiveness in hepatocellular carcinoma

S. Goh, H. H. M. Ng, V. Chew, X. N. Sim, H. Li, S. Lim, J. C. T. Lim, J. J. H. Loh, K. Sabai, C. C. H. Ong, T. Loh, W. Q. Leow, J. J. X. Lee, H. C. Toh, F. Malavasi, , T. K. H. Lim

The paper shows CD38 expression in immune infiltrates predicts response to anti-PD-1 immunotherapy in HCC patients.

bioRxiv · May 15, 2019 · PreprintCancer Biology