Novel feature selection method via kernel tensor decomposition for improved multi-omics data analysis
Abstract Background Feature selection of multi-omics data analysis remains challenging owing to the size of omics datasets, comprising approximately $$10^2$$ 10 2 - $$10^5$$ 10 5 features. In particular, appropriate methods to weight individual omics datasets are unclear, and the approach adopted ha...
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| Main Authors: | , |
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| Format: | Book |
| Published: |
BMC,
2022-02-01T00:00:00Z.
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Internet
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |