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

Bioinformatics

18 December Dec 2017 10 months ago
  • Chiesa M, Colombo GI, Piacentini L.

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.

Reference
Chiesa M, Colombo GI, Piacentini L. DaMiRseq-an R/Bioconductor package for data mining of RNA-Seq data: normalization, feature selection and classification. Bioinformatics 2017 Dec 11. doi: 10.1093/bioinformatics/btx795. [Epub ahead of print]

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