The role of chromatin state in intron retention: a case study in leveraging large scale deep learning models

This repository provides code and experiments to demonstrate the value of foundation models of chromatin state for accurate prediction of human introns that are subject to intron retention (IR) Ahmed Daoud, and Asa Ben-Hur. "The role of chromatin state in intron retention: a case study in leveraging large scale deep learning models." bioRxiv (2024): 2024-01. https://www.biorxiv.org/content/10.1101/2024.01.26.577402v2.full

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-11
DOI
https://doi.org/10.5281/zenodo.13921135
Primary Topic
Genomics and Chromatin Dynamics
Type
article
Field-Weighted Citation Impact
0.00
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article

The role of chromatin state in intron retention: a case study in leveraging large scale deep learning models

Zenodo (CERN European Organization for Nuclear Research)
Genomics and Chromatin Dynamics
article

The role of chromatin state in intron retention: a case study in leveraging large scale deep learning models

article en

Abstract

This repository provides code and experiments to demonstrate the value of foundation models of chromatin state for accurate prediction of human introns that are subject to intron retention (IR) Ahmed Daoud, and Asa Ben-Hur. "The role of chromatin state in intron retention: a case study in leveraging large scale deep learning models." bioRxiv (2024): 2024-01. https://www.biorxiv.org/content/10.1101/2024.01.26.577402v2.full

Zenodo (CERN European Organization for Nuclear Research)
Colorado State University (US)
Openalex Percentile: Top 55%
Genomics and Chromatin Dynamics
DOIOpen Access PDFOpenAlex
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The role of chromatin state in intron retention: a case study in leveraging large scale deep learning models · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS