Data-based filtering for replicated high-throughput transcriptome sequencing experiments

@inproceedings{Rau2013DatabasedFF,
  title={Data-based filtering for replicated high-throughput transcriptome sequencing experiments},
  author={Andrea Rau and M{\'e}lina Gallopin and Gilles Celeux and Florence Jaffr{\'e}zic},
  booktitle={Bioinformatics},
  year={2013}
}
MOTIVATION RNA sequencing is now widely performed to study differential expression among experimental conditions. As tests are performed on a large number of genes, stringent false-discovery rate control is required at the expense of detection power. Ad hoc filtering techniques are regularly used to moderate this correction by removing genes with low signal, with little attention paid to their impact on downstream analyses. RESULTS We propose a data-driven method based on the Jaccard… CONTINUE READING
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