Predicting binary, discrete and continued lncRNA-disease associations via a unified framework based on graph regression
Abstract Background In human genomes, long non-coding RNAs (lncRNAs) have attracted more and more attention because their dysfunctions are involved in many diseases. However, the associations between lncRNAs and diseases (LDA) still remain unknown in most cases. While identifying disease-related lnc...
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| Main Authors: | , , , , |
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| Format: | Book |
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BMC,
2017-12-01T00:00:00Z.
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Internet
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |