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

页码：1416 / 1418

页数：3

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