Author

June‐Tai Wu

National Taiwan UniversityORCID 0000-0002-4023-7315Unclaimed 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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Assay:ATAC-seq· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Chien‐Yu CheniD· 2 shared Yen‐Jen Oyang· 2 shared Yi‐An Tung· 2 shared Yu‐Chuan ChangiD· 2 shared Alzheimer’s Disease Neuroimaging Initiative· 1 shared Kathleen M. GiacominiiD· 1 shared Mingyi HongiD· 1 shared Ping‐Han HsiehiD· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersBioinformatics

Chien‐Yu ChenORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 10, 2020

accuEnhancer: Accurate enhancer prediction by integration of multiple cell type data with deep learning

Yi‐An Tung, Wen-Tse Yang, Tsung-Ting Hsieh…·Chien‐Yu Chen

This study develops a deep learning model to predict enhancer activity in new cell types by integrating DNase data across multiple cell types.

1 citation

ATAC-seqdeep learning

𝕏 PostBluesky

BioinformaticsBMC BioinformaticsPeer-reviewedFeb 24, 2020

GenEpi: Gene-based Epistasis Discovery Using Machine Learning

Alzheimer’s Disease Neuroimaging Initiative, Yu‐Chuan Chang, June‐Tai Wu…·Chien‐Yu Chen

GenEpi detects gene-based epistasis using machine learning, outperforming existing methods on simulated data and identifying disease-related variants in Alzheimer's disease.

39 citations

humanGWAS summary statistics

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