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Optimally discriminative subnetwork markers predict response to chemotherapy

Motivation: Molecular profiles of tumour samples have been widely and successfully used for classification problems. A number of algorithms have been proposed to predict classes of tumor samples based on expression profiles with relatively high performance. However, prediction of response to cancer...

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書誌詳細
主要な著者: Dao, Phuong, Wang, Kendric, Collins, Colin, Ester, Martin, Lapuk, Anna, Sahinalp, S. Cenk
フォーマット: Artigo
言語:Inglês
出版事項: Oxford University Press 2011
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3117373/
https://ncbi.nlm.nih.gov/pubmed/21685072
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btr245
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