Details

Autor(en) / Beteiligte

• Chiesa, Mattia
• Colombo, Gualtiero I
• Piacentini, Luca
• Valencia, Alfonso

Titel

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

Ist Teil von

• Bioinformatics, 2018-04, Vol.34 (8), p.1416-1418

Ort / Verlag

England: Oxford University Press

Erscheinungsjahr

2018

Quelle

Electronic Journals Library

Beschreibungen/Notizen

• Abstract Summary 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. Availability and implementation DaMiRseq is developed for the R environment (R ≥ 3.4) and is released under GPL (≥2) License. The package runs on Windows, Linux and Macintosh operating systems and is freely available to non-commercial users at the Bioconductor open-source, open-development software project repository (https://bioconductor.org/packages/DaMiRseq/). In compliance with Bioconductor standards, the authors ensure stable package maintenance through software and documentation updates. Supplementary information Supplementary data are available at Bioinformatics online.