期刊论文

Wang, Lei

英文

BMC Bioinformatics

1471-2105

2020

21

1

1-22

10.1186/s12859-020-03906-7

This research was partly sponsored by the National Natural Science Foundation of China (No. 61873221, No. 61672447) and the Natural Science Foundation of Hunan Province (No. 2018JJ4058, No. 2019JJ70010, No. 2017JJ5036). Publication costs were funded by the National Natural Science Foundation of China (No. 61873221, No. 61672447). The funder of manuscript is Lei Wang (L.W.), whose contribution are stated in the section of Author’s Contributions. The funding body has not played any roles in the design of the study and collection, analysis and interpretation of data in writing the manuscript.

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Background: Accumulating evidence has demonstrated that long non-coding RNAs (lncRNAs) are closely associated with human diseases, and it is useful for the diagnosis and treatment of diseases to get the relationships between lncRNAs and diseases. Due to the high costs and time complexity of traditional bio-experiments, in recent years, more and more computational methods have been proposed by researchers to infer potential lncRNA-disease associations. However, there exist all kinds of limitations in these state-of-the-art prediction methods as ...