ROTS: Reproducibility Optimized Test Statistic
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چکیده
منابع مشابه
ROTS: An R package for reproducibility-optimized statistical testing
Differential expression analysis is one of the most common types of analyses performed on various biological data (e.g. RNA-seq or mass spectrometry proteomics). It is the process that detects features, such as genes or proteins, showing statistically significant differences between the sample groups under comparison. A major challenge in the analysis is the choice of an appropriate test statis...
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Recent comprehensive assessments of RNA-seq technology support its utility in quantifying gene expression in various samples. The next step of rigorously quantifying differences between sample groups, however, still lacks well-defined best practices. Although a number of advanced statistical methods have been developed, several studies demonstrate that their performance depends strongly on the ...
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It has recently been suggested that differentially-expressed genes in a microarray experiment are best identified using fold-change, rather than a t-statistic, because the former results in lists of differentially-expressed genes that are more reproducible (Shi et al. 2005, Guo et al. 2006, MAQC Consortium 2006). We argue that reproducibility does not imply accuracy, and we show that the questi...
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