Deep multi-label joint learning for RNA and DNA-binding proteins prediction
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Genetics,Biotechnology
Link
http://xplorestaging.ieee.org/ielx7/8857/4359833/09712225.pdf?arnumber=9712225
Reference60 articles.
1. iDNA-Prot: Identification of DNA Binding Proteins Using Random Forest with Grey Model
2. DDX3X Suppresses the Susceptibility of Hindbrain Lineages to Medulloblastoma
3. Identification of DNA-binding proteins using support vector machines and evolutionary profiles
4. Pathogenic DDX3X Mutations Impair RNA Metabolism and Neurogenesis during Fetal Cortical Development
5. DeepSS: Exploring Splice Site Motif Through Convolutional Neural Network Directly From DNA Sequence
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2. LBi-DBP, an accurate DNA-binding protein prediction method based lightweight interpretable BiLSTM network;Expert Systems with Applications;2024-09
3. LEFMIFS: Label enhancement and fuzzy mutual information for robust multilabel feature selection;Engineering Applications of Artificial Intelligence;2024-07
4. Deep-WET: a deep learning-based approach for predicting DNA-binding proteins using word embedding techniques with weighted features;Scientific Reports;2024-02-05
5. qNABpredict: Quick, accurate, and taxonomy‐aware sequence‐based prediction of content of nucleic acid binding amino acids;Protein Science;2022-12-29
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