Author

S. Y. Lai

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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Bioengineering· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:electrophysiology· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Kanwar· 1 shared A. S. Mohamed· 1 shared A. Wong· 1 shared C. D. Fuller· 1 shared D. S. Mackin· 1 shared H. Elhalawani· 1 shared H. Skinner· 1 shared J. Messer· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperCancer Biology

A. Kanwar

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Author profile →

2 papers

Recent·Most cited

Feasibility of Using Wearable EMG Armbands combined with Unsupervised Transfer Learning for Seamless Myoelectric Control

M. H. Sohn, S. Y. Lai, M. L. Elwin, J. P. A. Dewald

This paper tests using a wearable EMG sensor and unsupervised transfer learning to improve myoelectric control across different measurement conditions.

bioRxiv · Jan 6, 2022 · PreprintBioengineering

Imaging-Genomics Study Of Head-Neck Squamous Cell Carcinoma: Associations Between Radiomic Phenotypes And Genomic Mechanisms Via Integration Of TCGA And TCIA

Y. Zhu, A. S. Mohamed, S. Y. Lai, S. Yang, A. Kanwar, L. Wei, M. Kamal, S. Sengupta, H. Elhalawani, H. Skinner, D. S. Mackin, J. Shiao, J. Messer, A. Wong, Y. Ding, , C. D. Fuller

This study integrates radiomic and genomic data from HNSCC patients to find associations between imaging features and genomic biomarkers, achieving moderate predictive accuracy for HPV and TP53 mutation status.

JCO Clinical Cancer Informatics · Dec 1, 2019Peer-reviewedCancer Biology