5 Result(s)
within
**aoyong Pan
Microarrays
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Article
Open AccessDG-Affinity: predicting antigen–antibody affinity with language models from sequences
Antibody-mediated immune responses play a crucial role in the immune defense of human body. The evolution of bioengineering has led the progress of antibody-derived drugs, showing promising efficacy in cancer ...
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Article
Open AccessRBPsuite: RNA-protein binding sites prediction suite based on deep learning
RNA-binding proteins (RBPs) play crucial roles in various biological processes. Deep learning-based methods have been demonstrated powerful on predicting RBP sites on RNAs. However, the training of deep learni...
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Article
Open AccessPrediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks
RNA regulation is significantly dependent on its binding protein partner, known as the RNA-binding proteins (RBPs). Unfortunately, the binding preferences for most RBPs are still not well characterized. Interd...
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Article
Open AccessRNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach
RNAs play key roles in cells through the interactions with proteins known as the RNA-binding proteins (RBP) and their binding motifs enable crucial understanding of the post-transcriptional regulation of RNAs....
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Article
Open AccessIPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction
Non-coding RNAs (ncRNAs) play crucial roles in many biological processes, such as post-transcription of gene regulation. ncRNAs mainly function through interaction with RNA binding proteins (RBPs). To understa...
