Article

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

2020-08-14

Abstract excerpt

DNA methylation (DNAm) alterations have been heavily implicated in carcinogenesis and the pathophysiology of diseases through upstream regulation of gene expression. DNAm deep-learning approaches are able to capture features associated with aging, cell type, and disease progression, but lack incorporation of prior biological knowledge. Here, we present modular, user-friendly deep learning methodology and software,...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: f3c49350-d7d5-55ca-b5ed-b243aad211d1
DOI: 10.1101/2020.08.14.251306

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

MethylSPWNet and MethylCapsNet: Biologically Motivated Organization of DNAm Neural Network, Inspired by Capsule NetworksDOI 10.1101/2020.08.14.251306Read

MethylSPWNet and MethylCapsNet: Biologically Motivated Organization of DNAm Neural Networks, Inspired by Capsule Networks.Semantic proximity Read

MethylNet: An Automated and Modular Deep Learning Approach for DNA Methylation AnalysisSemantic proximity Read

MethylationToActivity: a deep-learning framework that reveals promoter activity landscapes from DNA methylomes in individual tumorsSemantic proximity Read

Deep5hmC: Predicting genome-wide 5-Hydroxymethylcytosine landscape via a multimodal deep learning modelSemantic proximity Read

CpGPT: a Foundation Model for DNA MethylationSemantic proximity Read

A New Paradigm for Genome-wide DNA Methylation Prediction Without Methylation InputSemantic proximity Read

MethylGPT: a foundation model for the DNA methylomeSemantic proximity Read

crossNN: an explainable framework for cross-platform DNA methylation-based classification of cancerSemantic proximity Read

Human whole-epigenome modelling for clinical applications with PleiadesSemantic proximity Read

Melody: Decoding the Sequence Determinants of Locus Specific DNA Methylation Across Human TissuesSemantic proximity Read

Predicting the effect of non-coding mutations on single-cell DNA methylation using deep learningSemantic proximity Read

Deep learning predicts DNA methylation regulatory variants in specific brain cell types and enhances fine mapping for brain disordersSemantic proximity Read