We introduce the application of deep learning in the field of motif mining in terms of data preprocessing, features of existing deep learning architectures.
Jul 20, 2021 · We introduce the application of deep learning in the field of motif mining in terms of data preprocessing, features of existing deep learning ...
Existing deep learning methods in motif mining can be roughly divided into three types of models: convolutional neural network (CNN) based models, recurrent ...
It is found that the more complex models tend to perform better than simple ones when data are sufficient, and the current methods are relatively simple ...
Apr 12, 2023 · The current study aims to develop robust contextual knowledge of deep-learning methodology for DNA/RNA motif sequence identification and recognition.
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Apr 12, 2023 · The current study aims to develop robust contextual knowledge of deep-learning methodology for DNA/RNA motif sequence identification and ...
Human DNA/RNA motif mining using deep-learning methods: a scoping review ... A survey on deep learning in DNA/RNA motif mining. Briefings Bioinform ...
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We propose a deep learning-based framework (iDeep) by using a novel hybrid convolutional neural network and deep belief network to predict the RBP interaction ...
Jun 14, 2024 · This review aims to illuminate the compelling potential of DL for RB and ways to apply this powerful technology to investigate the intriguing biology of RNA ...
May 22, 2022 · Here, we discuss successful applications of deep learning to solve RNA problems, including predictions of RNA structures, non-canonical G-quadruplex, RNA- ...