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Accurate Molecular Classification of Human Cancers Based on Gene Expression Using a Simple Classifier with a Pathological Tree-Based Framework

Recent studies suggest accurate prediction of tissue of origin for human cancers can be achieved by applying sophisticated statistical learning procedures to gene expression data obtained from DNA microarrays. We have pursued the hypothesis that a more straightforward and equally accurate strategy f...

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主要な著者:	Shedden, Kerby A., Taylor, Jeremy M. G., Giordano, Thomas J., Kuick, Rork, Misek, David E., Rennert, Gad, Schwartz, Donald R., Gruber, Stephen B., Logsdon, Craig, Simeone, Diane, Kardia, Sharon L. R., Greenson, Joel K., Cho, Kathleen R., Beer, David G., Fearon, Eric R., Hanash, Samir
フォーマット:	Artigo
言語:	Inglês
出版事項:	American Society for Investigative Pathology 2003
主題:	Regular Articles
オンライン･アクセス:	https://ncbi.nlm.nih.gov/pmc/articles/PMC1892445/ https://ncbi.nlm.nih.gov/pubmed/14578198
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

Accurate Molecular Classification of Human Cancers Based on Gene Expression Using a Simple Classifier with a Pathological Tree-Based Framework

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