Author

Youdinghuan Chen

Dartmouth CollegeORCID 0000-0002-5451-0482Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:DNA methylation· 2 Research Focus:gene regulatory network inference· 2 Research Focus:differential expression· 1 Organism:human· 1 Approach:transformer / foundation model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Alexander TitusiD· 2 shared Brock C. ChristenseniD· 2 shared Curtis Lee PeterseniD· 2 shared Joshua LevyiD· 2 shared Lucas A. SalasiD· 2 shared Erika L. MoeniD· 1 shared Louis Joseph VaickusiD· 1 shared Nasim AzizgolshaniiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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2 shared papersBioinformatics

Alexander TitusORCID

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2 papers

Recent·Most cited

MethylSPWNet and MethylCapsNet: Biologically Motivated Organization of DNAm Neural Network, Inspired by Capsule Networks

Joshua Levy, Youdinghuan Chen, Nasim Azizgolshani, Curtis Lee Petersen, Alexander Titus, Erika L. Moen, Louis Joseph Vaickus, Lucas A. Salas, Brock C. Christensen

The paper introduces MethylCapsNet and MethylSPWNet, deep learning models that organize DNA methylation data into biologically relevant capsules to improve interpretability in classifying CNS tumors.

npj Systems Biology and Applications · Aug 20, 2021Peer-reviewedBioinformatics

MethylNet: An Automated and Modular Deep Learning Approach for DNA Methylation Analysis

Joshua Levy, Alexander Titus, Curtis Lee Petersen, Youdinghuan Chen, Lucas A. Salas, Brock C. Christensen

MethylNet is a deep learning framework for DNA methylation analysis that constructs embeddings, makes predictions, and uncovers heterogeneity with minimal user input.

BMC Bioinformatics · Mar 17, 2020Peer-reviewedBioinformatics