Author

William Hsu

University of California Los Angeles;ORCID 0000-0002-5168-070XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

David WongiD· 1 shared Denise R. AberleiD· 1 shared Neeti SwarupiD· 1 shared Nova F. SmedleyiD· 1 shared Qianchuan HeiD· 1 shared Robert B ScharpfiD· 1 shared Saishi CuiiD· 1 shared Wei SuniD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 22 mutual co-author links

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1 shared paperBioinformatics

David WongORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 9, 2026

mFrag: Integrating External DNA Methylation References Improves Lung Cancer Early Detection by Fragmentomics

Saishi Cui, Neeti Swarup, Qianchuan He…·Wei Sun

mFrag improves lung cancer early detection using fragmentomics by integrating DNA methylation data and combining two models to enhance prediction accuracy.

DOI 10.64898/2026.10.28.762499

humanwhole-genome sequencing

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BioinformaticsbioRxivPreprintJul 22, 2020

Identifying transcription patterns of histology and radiomics features in NSCLC with neural networks

Nova F. Smedley, Denise R. Aberle, William W.Y. Hsu

This paper uses neural networks to map gene expressions to radiomic features and histology in NSCLC, finding that they outperform other classifiers and identify predictive gene associations.

1 citation

humanbulk RNA-seq

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