Double feature selection and cluster analyses in mining of microarray data from cotton
<p>Abstract</p> <p>Background</p> <p>Cotton fiber is a single-celled seed trichome of major biological and economic importance. In recent years, genomic approaches such as microarray-based expression profiling were used to study fiber growth and development to understan...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2008-06-01
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| Series: | BMC Genomics |
| Online Access: | http://www.biomedcentral.com/1471-2164/9/295 |