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Article

DMFLDA: A Deep Learning Framework for Predicting lncRNA-Disease Associations.

IEEE/ACM transactions on computational biology and bioinformatics - 1 Jan 2000

Zeng Min, Lu Chengqian, Fei Zhihui, Wu Fang-Xiang, Li Yaohang, Wang Jianxin, Li Min

Abstract excerpt

A growing amount of evidence suggests that long non-coding RNAs (lncRNAs) play important roles in the regulation of biological processes in many human diseases. However, the number of experimentally verified lncRNA-disease associations is very limited. Thus, various computational approaches are proposed to predict lncRNA-disease associations. Current matrix factorization-based methods cannot capture the complex...

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PMID: 32248123
DOI: 10.1109/TCBB.2020.2983958

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