title: Comments on: fold change rank ordering statistics: a new method for detecting differentially expressed genes.
abstract: We published a new method (BMC Bioinformatics 2014, 15:14) for searching for differentially expressed genes from two biological conditions datasets. The presentation of theorem 1 in this paper was incomplete. We received an anonymous comment about our publication that motivates the present work. Here, we present a complementary result which is necessary from the theoretical point of view to demonstrate our theorem. We also show that this result has no negative impact on our conclusions obtained with synthetic and experimental microarrays datasets.
authors.affiliation: Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), CNRS UMR 7104, INSERM U964, Université de Strasbourg, Illkirch, 67404, France. doulaye@igbmc.fr.|IGBMC Microarray and Sequencing Platform, Illkirch, 67404, France. doulaye@igbmc.fr.
authors.forename: Doulaye
authors.initials: D
authors.lastname: Dembélé
authors.affiliation: Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), CNRS UMR 7104, INSERM U964, Université de Strasbourg, Illkirch, 67404, France.|Faculté de Medécine, Université de Strasbourg, Strasbourg, France.
authors.forename: Philippe
authors.initials: P
authors.lastname: Kastner
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D030541:Databases, Genetic; D020869:Gene Expression Profiling / Q000379:methods*; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*
keywords: Average of ranks; Differentially expressed genes; Fold change