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

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

Yi‐An Tung, Wen-Tse Yang, Tsung-Ting Hsieh, Yu‐Chuan Chang, June‐Tai Wu, Yen‐Jen Oyang, 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.

bioRxiv · Nov 10, 2020 · PreprintBioinformatics

GenEpi: Gene-based Epistasis Discovery Using Machine Learning

Alzheimer’s Disease Neuroimaging Initiative, Yu‐Chuan Chang, June‐Tai Wu, Mingyi Hong, Yi‐An Tung, Ping‐Han Hsieh, Sook Wah Yee, Kathleen M. Giacomini, Yen‐Jen Oyang, 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.

BMC Bioinformatics · Feb 24, 2020Peer-reviewedBioinformatics