Deep Neural Network Modeling of Circular RNA‐Mediated Epitranscriptomic Modifications in Alzheimer's Disease Progression: A Multi‐Omic Approach Using Single‐Nucleus RNA Sequencing and Spatial Epigenomics

This study identifies the essential roles of circRNAs in Alzheimer's disease progression using a robust multi-omic deep learning framework. By integrating snRNA-seq and spatial epigenomics, the findings contribute to a deeper understanding of potential therapeutic targets for Alzheimer's disease.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70855_102535
Primary Topic
Circular RNAs in diseases
Type
article
Field-Weighted Citation Impact
0.00
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article

Deep Neural Network Modeling of Circular RNA‐Mediated Epitranscriptomic Modifications in Alzheimer's Disease Progression: A Multi‐Omic Approach Using Single‐Nucleus RNA Sequencing and Spatial Epigenomics

Rifaldy Fajar, Sahnaz Putri, Prihantini Prihantini
Alzheimer s & Dementia
Circular RNAs in diseases
article

Deep Neural Network Modeling of Circular RNA‐Mediated Epitranscriptomic Modifications in Alzheimer's Disease Progression: A Multi‐Omic Approach Using Single‐Nucleus RNA Sequencing and Spatial Epigenomics

Rifaldy Fajar, Sahnaz Putri, Prihantini Prihantini
article en

Abstract

This study identifies the essential roles of circRNAs in Alzheimer's disease progression using a robust multi-omic deep learning framework. By integrating snRNA-seq and spatial epigenomics, the findings contribute to a deeper understanding of potential therapeutic targets for Alzheimer's disease.

Alzheimer s & DementiaVol. 21(S1)
Yogyakarta State University (ID), Bandung Institute of Technology (ID), Universitas Internasional Semen Indonesia (ID), Indonesia International Institute for Life Sciences (ID), Universitas Teknologi Yogyakarta (ID)
Openalex Percentile: Top 36%
Circular RNAs in diseases
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