SCPLPA: AnmiRNA–disease association prediction model based on spatial consistency projection and label propagation algorithm
Min Chen,
Yingwei Deng,
Zejun Li
et al.
Abstract:Identifying the association between miRNA and diseases is helpful for disease prevention, diagnosis and treatment. It is of great significance to use computational methods to predict potential human miRNA disease associations. Considering the shortcomings of existing computational methods, such as low prediction accuracy and weak generalization, we propose a new method called SCPLPA to predict miRNA–disease associations. First, a heterogeneous disease similarity network was constructed using the disease semant… Show more
“…The attention mechanism is a widely used technique in deep learning models, particularly in sequence-to-sequence models, such as the ones used in the experiment conducted in this study. 19–21 It allows the model to assign varying weights to different elements in the input sequence, thereby enabling it to focus on the most relevant parts for a given context. This concept is inspired by human visual attention, where individuals tend to concentrate on the areas of interest while disregarding irrelevant parts.…”
Predicting protein’s binding with material surface still remains a challenge. Here, a novel approach, Platypus Dual Perception Neural Network (Platyper) was developed to describe the interactions in protein-surface systems involving...
“…The attention mechanism is a widely used technique in deep learning models, particularly in sequence-to-sequence models, such as the ones used in the experiment conducted in this study. 19–21 It allows the model to assign varying weights to different elements in the input sequence, thereby enabling it to focus on the most relevant parts for a given context. This concept is inspired by human visual attention, where individuals tend to concentrate on the areas of interest while disregarding irrelevant parts.…”
Predicting protein’s binding with material surface still remains a challenge. Here, a novel approach, Platypus Dual Perception Neural Network (Platyper) was developed to describe the interactions in protein-surface systems involving...
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.