CNNDLP: A Method Based on Convolutional Autoencoder and Convolutional Neural Network with Adjacent Edge Attention for Predicting lncRNA–Disease Associations

It is well known that the unusual expression of long non-coding RNAs (lncRNAs) is closely related to the physiological and pathological processes of diseases. Therefore, inferring the potential lncRNA–disease associations are helpful for understanding the molecular pathogenesis of diseases. Most pre...

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Bibliographic Details
Published in:	International journal of molecular sciences Vol. 20; no. 17; p. 4260
Main Authors:	Xuan, Ping, Sheng, Nan, Zhang, Tiangang, Liu, Yong, Guo, Yahong
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 30.08.2019 MDPI
Subjects:	Algorithms Area Under Curve Disease Humans Methods Neoplasms - genetics Neural networks Neural Networks, Computer Performance evaluation Proteins RNA, Long Noncoding - genetics ROC Curve lncRNA-disease association prediction attention at adjacent edge level feature learning based on convolutional autoencoder convolutional neural networks similarity calculation based on multiple bipartite networks
ISSN:	1422-0067, 1661-6596, 1422-0067
Online Access:	Get full text
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