Subclass mapping: identifying common subtypes in independent disease data sets.
Whole genome expression profiles are widely used to discover molecular subtypes of diseases. A remaining challenge is to identify the correspondence or commonality of subtypes found in multiple, independent data sets generated on various platforms. While model-based supervised learning is often used...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2007-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC2065909?pdf=render |