论文标题
鉴定癌症亚型涉及的不受管制的转录因子
Identification of deregulated transcription factors involved in subtypes of cancers
论文作者
论文摘要
我们提出了一种鉴定参与肿瘤细胞基因失调的转录因子的方法。该策略基于参考基因调节网络的推断，该网络使用基因表达数据将转录因子与其下游靶标连接起来。然后将基因在肿瘤样品中的行为仔细地与该参考网络进行比较，以检测失控的靶基因。线性模型最终用于测量每个转录因子解释这些放松管制的能力。我们通过对乳腺癌数据集的数值实验评估方法的性能。我们表明，有关放松管制的信息与表达数据互补，因为两者的组合改善了样本的监督分类性能为癌症亚型。
We propose a methodology for the identification of transcription factors involved in the deregulation of genes in tumoral cells. This strategy is based on the inference of a reference gene regulatory network that connects transcription factors to their downstream targets using gene expression data. The behavior of genes in tumor samples is then carefully compared to this network of reference to detect deregulated target genes. A linear model is finally used to measure the ability of each transcription factor to explain those deregulations. We assess the performance of our method by numerical experiments on a breast cancer data set. We show that the information about deregulation is complementary to the expression data as the combination of the two improves the supervised classification performance of samples into cancer subtypes.
