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: | Online |
| Language: | English |
| Published: |
Public Library of Science
2007
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2065909/ |