Integration of clinical and gene expression data has a synergetic effect on predicting breast cancer outcome.

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作者： Martin H,van Vliet ^[1] ; Hugo M,Horlings ; Marc J,van de Vijver ; Marcel J T,Reinders ; Lodewyk F A,Wessels

作者单位： Delft Bioinformatics Laboratory, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Mekelweg, Delft, The Netherlands. mhvvliet@gmail.com ^[1]

主题词算法(Algorithms);曲线下面积(Area Under Curve);贝叶斯定理(Bayes Theorem);乳腺肿瘤(Breast Neoplasms);数据库, 遗传学(Databases, Genetic);女(雌)性(Female);基因表达谱(Gene Expression Profiling);基因表达调控, 肿瘤(Gene Expression Regulation, Neoplastic);基因, 肿瘤(Genes, Neoplasm);人类(Humans);Kaplan-Meiers评估(Kaplan-Meier Estimate);预后(Prognosis);结果可重复性(Reproducibility of Results)

DOI 10.1371/journal.pone.0040358

PMID 22808140

发布时间 2021-10-21

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2012年7卷7期

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Integration of clinical and gene expression data has a synergetic effect on predicting breast cancer outcome.

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Integration of clinical and gene expression data has a synergetic effect on predicting breast cancer outcome.

PloS one

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