DeepLPI: a multimodal deep learning method for predicting the interactions between lncRNAs and protein isoforms

Background: Long non-coding RNAs (lncRNAs) regulate diverse biological processes via interactions with proteins. Since the experimental methods to identify these interactions are expensive and time-consuming, many computational methods have been proposed. Although these computational methods have ac...

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Bibliographic Details
Main Authors:	Chen, H. (Author), Jiang, T. (Author), Shaw, D. (Author), Xie, M. (Author)
Format:	Article
Language:	English
Published:	BioMed Central Ltd 2021
Subjects:	animal Animals biology Computational Biology Computational methods Conditional random field Correlation analysis Deep learning Deep Learning Deep neural networks Experimental methods Forecasting Genes genetics isoprotein Learning neural networks Learning systems long untranslated RNA Mice mouse Multiple-instance learning Neural Networks, Computer Prediction performance Protein Isoforms Proteins RNA, Long Noncoding State-of-the-art methods Topological features
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DeepLPI: a multimodal deep learning method for predicting the interactions between lncRNAs and protein isoforms

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