ProtScan: Modeling and Prediction of RNA-Protein Interactions
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arXiv
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| Hauptverfasser: | , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866910766604484608 |
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| author | Corrado, Gianluca Uhl, Michael Backofen, Rolf Passerini, Andrea Costa, Fabrizio |
| author_facet | Corrado, Gianluca Uhl, Michael Backofen, Rolf Passerini, Andrea Costa, Fabrizio |
| contents | CLIP-seq methods are valuable techniques to experimentally determine transcriptome-wide binding sites of RNA-binding proteins. Despite the constant improvement of such techniques (e.g. eCLIP), the results are affected by various types of noise and depend on experimental conditions such as cell line, tissue, gene expression levels, stress conditions etc., paving the way for the in silico modeling of RNA-protein interactions. Here we present ProtScan, a predictive tool based on consensus kernelized SGD regression. ProtScan denoises and generalizes the information contained in CLIP-seq experiments. It outperforms competitor state-of the-art methods and can be used to model RNA-protein interactions on a transcriptome-wide scale. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_20933 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | ProtScan: Modeling and Prediction of RNA-Protein Interactions Corrado, Gianluca Uhl, Michael Backofen, Rolf Passerini, Andrea Costa, Fabrizio Biomolecules CLIP-seq methods are valuable techniques to experimentally determine transcriptome-wide binding sites of RNA-binding proteins. Despite the constant improvement of such techniques (e.g. eCLIP), the results are affected by various types of noise and depend on experimental conditions such as cell line, tissue, gene expression levels, stress conditions etc., paving the way for the in silico modeling of RNA-protein interactions. Here we present ProtScan, a predictive tool based on consensus kernelized SGD regression. ProtScan denoises and generalizes the information contained in CLIP-seq experiments. It outperforms competitor state-of the-art methods and can be used to model RNA-protein interactions on a transcriptome-wide scale. |
| title | ProtScan: Modeling and Prediction of RNA-Protein Interactions |
| topic | Biomolecules |
| url | https://arxiv.org/abs/2412.20933 |