Skip to Main content Skip to Navigation
Journal articles

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

Abstract : RNA sequencing is now widely performed to study differential expression among experimental conditions. As tests are performed on a large number of genes, very 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.
Complete list of metadatas

https://hal.inria.fr/hal-00927025
Contributor : Gilles Celeux <>
Submitted on : Friday, January 10, 2014 - 4:20:27 PM
Last modification on : Monday, March 8, 2021 - 10:38:04 AM

Links full text

Identifiers

Collections

Citation

Andrea Rau, Mélina Gallopin, Gilles Celeux, Florence Jaffrezic. Data-based filtering for replicated high-throughput transcriptome sequencing experiments. Bioinformatics, Oxford University Press (OUP), 2013, 29 (17), pp.2146-2152. ⟨10.1093/bioinformatics/btt350⟩. ⟨hal-00927025⟩

Share

Metrics

Record views

347