Subclass Mapping: Identifying Common Subtypes in Independent Disease Data Sets
Subclass Mapping: Identifying Common Subtypes in Independent Disease Data Sets
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United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Scope and Contents
Contents
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 to make these connections, the models can be bias...
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Full title
Subclass Mapping: Identifying Common Subtypes in Independent Disease Data Sets
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TN_cdi_plos_journals_1950342332
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1950342332
Other Identifiers
ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0001195
