Author

W. H. Yong

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· 1 Microbiology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Approach:biophysical modeling· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. C. Martini· 1 shared A. Nunez· 1 shared B. N. Dugger· 1 shared C. DeCarli· 1 shared C. K. Williams· 1 shared C. Khacherian· 1 shared C. Manlapaz· 1 shared C. Pachow· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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Curved chords = mutual co-authorship

1 shared paperPathology

A. C. Martini

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

PathologybioRxivJan 13, 2023

Learning fast and fine-grained detection of amyloid neuropathologies from coarse-grained expert labels

D. R. Wong, S. D. Magaki, H. V. Vinters…·M. J. Keiser

The paper develops a deep learning model to detect amyloid neuropathologies from whole slide images using coarse labels, achieving performance comparable to expert annotations.

DOI 10.1038/s42003-023-05031-6

humanimaging

𝕏 PostBluesky

MicrobiologybioRxivNov 15, 2021

Microglia do not restrict SARS-CoV-2 replication following infection of the central nervous system of K18-hACE2 transgenic mice

G. M. Olivarria, Y. Cheng, C. Pachow…·T. Lane

This study shows SARS-CoV-2 infects neurons in the CNS of K18-hACE2 mice, with microglia not restricting viral replication but contributing to inflammation.

DOI 10.1128/jvi.01969-21

mousebulk RNA-seq

𝕏 PostBluesky

Cancer BiologybioRxivPreprintJan 14, 2020

Quantitative single cell heterogeneity profiling of patient derived tumor initiating gliomaspheres reveals unique signatures of malignancy and response

M. Masterman-Smith, N. A. Graham, E. Panosyan…·J. Sun

The paper uses single cell proteomic analysis to identify distinct signaling phenotypes in gliomaspheres, revealing EGFR and AKT/TORC1 signaling divergence and potential therapeutic targets.

DOI 10.1101/2020.01.14.900506

humanproteomics

𝕏 PostBluesky