DaMiRseq-an R/Bioconductor package for data mining of RNA-Seq data: normalization, feature selection and classification
DaMiRseq-an R/Bioconductor package for data mining of RNA-Seq data: normalization, feature selection and classification
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DOI：
10.1093/bioinformatics/btx795
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发表时间：
2018-04-15
期刊：
影响因子：
5.8
通讯作者：
Piacentini, Luca
中科院分区：
文献类型：
--
作者：
Chiesa, Mattia;Colombo, Gualtiero I.;Piacentini, Luca
RNA-Seq正在成为高通量转录组分析的首选技术，除了差异表达的类别比较外，它有望成为生物标志物发现的有效和强大的工具。然而，高维基因组数据的系统分析是一项艰巨的任务，为这样的目的。DaMiRseq提供了一个有组织的，灵活的和方便的框架，以消除噪音和偏见，选择信息量最大的特征，并执行准确的分类。
RNA-Seq is becoming the technique of choice for high-throughput transcriptome profiling, which, besides class comparison for differential expression, promises to be an effective and powerful tool for biomarker discovery. However, a systematic analysis of high-dimensional genomic data is a demanding task for such a purpose. DaMiRseq offers an organized, flexible and convenient framework to remove noise and bias, select the most informative features and perform accurate classification.