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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...

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Библиографические подробности
Главные авторы: Hoshida, Yujin, Brunet, Jean-Philippe, Tamayo, Pablo, Golub, Todd R., Mesirov, Jill P.
Формат: Artigo
Язык:Inglês
Опубликовано: Public Library of Science 2007
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC2065909/
https://ncbi.nlm.nih.gov/pubmed/18030330
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0001195
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