A review of independent component analysis application to microarray gene expression data
Independent component analysis (ICA) methods have received growing attention as effective data-mining tools for microarray gene expression data. As a technique of higher-order statistical analysis, ICA is capable of extracting biologically relevant gene expression features from microarray data. Here...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2008-11-01
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| Series: | BioTechniques |
| Online Access: | https://www.future-science.com/doi/10.2144/000112950 |
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