DaMiRseq-an R/Bioconductor package for data mining of RNA-Seq data: normalization, feature selection and classification

被引：50
作者：
Chiesa, Mattia [1 ]
Colombo, Gualtiero I. [1 ]
Piacentini, Luca [1 ]
机构：
[1] IRCCS, Immunol & Funct Genom Unit, Ctr Cardiol Monzino, I-20138 Milan, Italy
来源：
BIOINFORMATICS | 2018年 / 34卷 / 08期
关键词：
D O I：
10.1093/bioinformatics/btx795
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
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.
引用
收藏
页码：1416 / 1418
页数：3
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