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...
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Institute of Electrical and Electronics Engineers Inc.
2014
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| பகà¯à®¤à®¿à®•à®³à¯: | |
| நிகழà¯à®¨à®¿à®²à¯ˆ அணà¯à®•à®²à¯: | http://eprints.utm.my/62391/ http://eprints.utm.my/62391/ http://eprints.utm.my/62391/ |
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http://eprints.utm.my/62391/http://eprints.utm.my/62391/
http://eprints.utm.my/62391/