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ASCRB: Multi-view based attentional feature selection for CircRNA-binding site prediction by Lei Li; Zhigang Xue; Xiuquan Du is a Medicine article available to read on EtoBox.

What is ASCRB: Multi-view based attentional feature selection for CircRNA-binding site prediction about?

CircRNA is a non-coding RNA with a special circular structure, which plays a key role in a variety of life activities by interacting with RNA-binding proteins through CircRNA binding sites. Therefore, accurately identifying CircRNA binding sites is of great importance for gene regulation. In previous studies, most of the methods are based on single-view or multi-view features. Considering that single-view methods provide less effective information, the current mainstream methods mainly focus on extracting rich relevant features by constructing multiple views. However, the increasing number of views leads to a large amount of redundant information, which is detrimental to the detection of CircRNA binding sites. Therefore, to solve this problem, we propose to use the channel attention mechanism to further obtain useful multi-view features by filtering out invalid information in each view. First, we use five feature encoding schemes to construct multi-view. Then, we calibrate the features by generating the global representation of each view, filtering out redundant information to retain important feature information. Finally, features obtained from multiple views are fused to detect R

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Author

Lei Li; Zhigang Xue; Xiuquan Du

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Medicine (Physical Sciences)