Author

Curtis Lee Petersen

Dartmouth CollegeORCID 0000-0002-7210-447XUnclaimed 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 Joshua LevyiD· 2 shared Lucas A. SalasiD· 2 shared Youdinghuan CheniD· 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

Bioinformaticsnpj Systems Biology and ApplicationsPeer-reviewedAug 20, 2021

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

Joshua Levy, Youdinghuan Chen, Nasim Azizgolshani…·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.

24 citations

humanDNA methylation

BioinformaticsBMC BioinformaticsPeer-reviewedMar 17, 2020

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

Joshua Levy, Alexander Titus, Curtis Lee Petersen…·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.

127 citationstop 2%

DNA methylationdeep learning