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CDS:A Fold-change Based Statistical Test for Concomitant Identification of Distinctness and Similarity in Gene Expression Analysis

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Genomics,Proteomics & Bioinformatics 2012年第3期10卷 127-135页

作者： Nicolas Tchitchek josé felipe golib dzib Brice Targat Sebastian Noth Arndt Benecke Annick Lesne Institut des Hautes Etudes Scientifiques Bures-sur-Yvette 91440France Centre National de la Recherche Scientifique USR3078Bures-sur-Yvette 91440France Laboratoire de Physique Théorique de la Matière Condensée CNRS UMR7600Université Pierre et Marie Curie-Paris 6Paris 75005France

The problem of identifying differential activity such as in gene expression is a major defeat in biostatistics and *** important,however much less frequently studied,is the question of similar activity from one biological condition to *** foldchange,or ratio,is usually considered a relevant criterion for stating difference and similarity between ***,no statistical method for concomitant evaluation of similarity and distinctness currently exists for biological *** microarray,digital PCR(dPCR),and Next-Generation Sequencing(NGS) technologies frequently provide a means of coefficient of variation estimation for individual *** fold-change,and by making the assumption that measurements are normally distributed with known variances,we designed a novel statistical test that allows us to detect concomitantly,thus using the same formalism,differentially and similarly expressed genes(http://***).Given two sets of gene measurements in different biological conditions,the probabilities of making type I and type II errors in stating that a gene is differentially or similarly expressed from one condition to the other can be ***,a confidence interval for the fold-change can be ***,we demonstrate that the assumption of normality can be relaxed to consider arbitrary distributions *** Concomitant evaluation of Distinctness and Similarity(CDS) statistical test correctly estimates similarities and differences between measurements of gene *** implementation,being time and memory efficient,allows the use of the CDS test in high-throughput data analysis such as microarray,dPCR,and NGS ***,the CDS test can be applied to the comparison of single measurements(N:1) provided the variance(or coefficient of variation) of the signals is known,making CDS a valuable tool also in biomedical analysis where typically a single measurement per

关键词： Statistical test Fold-change Distinctness Similarity Gene expression Single measurement Patient study

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