DeepRNA-Reg: a deep-learning based approach for comparative analysis of CLIP experiments

DeepRNA-Reg: a deep-learning based approach for comparative analysis of CLIP experiments

<p>DeepRNA-Reg employs advances in deep learning to enable high-fidelity comparative analysis of paired datasets of high-throughput sequencing of RNA isolated by crosslinking immunoprecipitation (HITS-CLIP). In a HITS-CLIP experimental paradigm where Ago2 targeting is selectively perturbed via...

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Bibliographic Details
Main Author: Harshaan Sekhon (22384782) (author)
Other Authors: Robin Kageyama (354732) (author), Neil T. Sprenkle (22384785) (author), Hannah C. Happ (22384788) (author), Eric J. Wigton (5772074) (author), Heather H. Pua (22384791) (author), K. Mark Ansel (22384794) (author)
Published: 2025
Subjects:
Genetics
Molecular Biology
Mental Health
Biological Sciences not elsewhere classified
Differential HITS-CLIP
RNA-binding-protein (RBP)
deep learning
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