High-Fidelity Transcriptome Reconstruction of Degraded RNA-Seq Samples Using Denoising Diffusion Models

DiffRepairer is a validated, high-precision tool for transcriptome repair that effectively restores biologically meaningful signals from degraded RNA-seq data, highlighting the potential of advanced generative models in bioinformatics.

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Publication Details

Journal
Biology
Published
2025-11-23
DOI
https://doi.org/10.3390/biology14121652
Primary Topic
RNA Research and Splicing
Type
article
Field-Weighted Citation Impact
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article

High-Fidelity Transcriptome Reconstruction of Degraded RNA-Seq Samples Using Denoising Diffusion Models

Jinlei Sun, Hengchuan Guo, Chen Li, Ke Xiao et al.
Biology
RNA Research and Splicing
article

High-Fidelity Transcriptome Reconstruction of Degraded RNA-Seq Samples Using Denoising Diffusion Models

Jinlei Sun, Hengchuan Guo, Chen Li, Ke Xiao, Yajun Pang, Zhiyu Liu, Yiying Wang, Yunqing Liu
article en

Abstract

DiffRepairer is a validated, high-precision tool for transcriptome repair that effectively restores biologically meaningful signals from degraded RNA-seq data, highlighting the potential of advanced generative models in bioinformatics.

BiologyVol. 14(12)
Nanjing Normal University (CN), State Key Laboratory of Digital Medical Engineering (CN), Luoyang Institute of Science and Technology (CN), Southeast University (CN)
Openalex Percentile: Top 68%
RNA Research and Splicing
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