Feature Selection and Classification of cDNA Microarray Samples in ROSETTA
The advent of cDNA microarray technology makes it possible to measure theexpression level of thousands of genes simultaneously. This creates large volumes of data that require computational analysis. One application of microarray technology is cancer studies, where supervised learning may be used on...
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| Format: | Others |
| Language: | English |
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Uppsala universitet, Institutionen för informationsteknologi
2008
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-88731 |