title: Do count-based differential expression methods perform poorly when genes are expressed in only one condition?
abstract: A response to 'Comprehensive evaluation of differential gene expression analysis methods for RNA-seq data' by Rapaport F, Khanin R, Liang Y, Pirun M, Krek A, Zumbo P, Mason CE, Socci ND and Betel D in Genome Biology, 2013, 14:R95.
authors.affiliation: SIB Swiss Institute of Bioinformatics, University of Zurich, Zurich, CH-8057, Switzerland. xiaobei.zhou@uzh.ch.|Institute of Molecular Life Sciences, University of Zurich, Zurich, CH-8057, Switzerland. xiaobei.zhou@uzh.ch.
authors.forename: Xiaobei
authors.initials: X
authors.lastname: Zhou
authors.affiliation: SIB Swiss Institute of Bioinformatics, University of Zurich, Zurich, CH-8057, Switzerland. mark.robinson@imls.uzh.ch.|Institute of Molecular Life Sciences, University of Zurich, Zurich, CH-8057, Switzerland. mark.robinson@imls.uzh.ch.
authors.forename: Mark D
authors.initials: MD
authors.lastname: Robinson
mesh_terms: D059014:High-Throughput Nucleotide Sequencing / Q000706:statistics & numerical data*; D006801:Humans; D009419:Nerve Tissue Proteins / Q000235:genetics*; D012313:RNA / Q000235:genetics*; D017423:Sequence Analysis, RNA / Q000706:statistics & numerical data*; D012984:Software
chemical_list: D009419:Nerve Tissue Proteins; D012313:RNA