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DeepLocRNA: An Interpretable Deep Learning Model for Predicting RNA Subcellular Localization with domain-specific transfer-learning

2023-11-17

Abstract excerpt

<h4>ABSTRACT</h4> Accurate prediction of RNA subcellular localization plays an important role in understanding cellular processes and functions. Although post-transcriptional processes are governed by trans-acting RNA-binding proteins (RBPs) through interaction with cis-regulatory RNA motifs, current methods do not incorporate RBP-binding information. In this paper, we propose DeepLocRNA, an interpretable deep-le...

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Literature Corpus work
78191e92-6b9b-55b6-9484-ccb308faa7d2
DOI
10.1101/2023.11.17.567519
Open publication

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DeepLocRNA: An Interpretable Deep Learning Model for Predicting RNA Subcellular Localization with domain-specific transfer-learningDOI 10.1101/2023.11.17.567519
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