Author

C.-Y. Chu

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 Immunology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Organism:human· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1 Organism:mouse· 1

Frequent Co-Authors

A. Corbett· 1 shared A. H. Shain· 1 shared A. R. Falsey· 1 shared B. C. Bastian· 1 shared C. Shi· 1 shared C. Slaunwhite· 1 shared C.-A. Tsai· 1 shared D. J. Topham· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperImmunology

A. Corbett

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

The genetic evolution of acral melanoma

M. Wang, S. Fukushima, Y.-S. Sheen, E. Ramelyte, N. Cruz Pacheco, C. Shi, S. Liu, I. Banik, J. D. Aquino, M. Sangueza Acosta, M. Levesque, R. Dummer, J.-Y. Liau, C.-Y. Chu, A. H. Shain, , B. C. Bastian

This study analyzes exome sequencing data from acral melanoma patients to identify distinct genetic evolution patterns compared to sun-exposed melanomas.

bioRxiv · Oct 18, 2023Cancer Biology

A senescence-like cellular response inhibits bovine ephemeral fever virus proliferation

Y.-J. Zeng, M.-K. Hsu, C.-A. Tsai, C.-Y. CHU, H.-C. Wu, H.-Y. Wang

The paper shows that a senescence-like response in BHK-21 cells inhibits bovine ephemeral fever virus replication, suggesting potential strategies to modulate antiviral responses.

bioRxiv · Jan 28, 2021Microbiology

Airway Gene-Expression Classifiers for Respiratory Syncytial Virus (RSV) Disease Severity in Infants

L. Wang, C.-Y. Chu, M. N. McCall, C. Slaunwhite, J. Holden-Wiltse, A. Corbett, A. R. Falsey, D. J. Topham, M. T. Caserta, T. J. Mariani, E. E. Walsh, X. Qiu

The paper develops gene expression classifiers from nasal brush samples to predict RSV disease severity in infants, finding strong correlations with clinical scores.

bioRxiv · May 9, 2020Immunology