Discovering functional impacts of miRNAs in cancers using a causal deep learning model
Abstract Background Micro-RNAs (miRNAs) play a significant role in regulating gene expression under physiological and pathological conditions such as cancers. However, it remains a challenging problem to discover the target messenger RNAs (mRNAs) of a miRNA in a data driven fashion. On one hand, seq...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2018-12-01
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| Series: | BMC Medical Genomics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12920-018-0432-0 |