Random forest and gene ontology for functional analysis of microarray data
With the development of DNA microarray technology, scientists can now measure gene expression levels. However, such high-throughput microarray technologies produce a long list of genes with small sample size and high noisy genes. The data need to be further analysed and interpreting information on b...
| Main Authors: | , , , , , |
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| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2014
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| Subjects: |