Evaluation of Jackknife and Bootstrap for Defining Confidence Intervals for Pairwise Agreement Measures

Several research fields frequently deal with the analysis of diverse classification results of the same entities. This should imply an objective detection of overlaps and divergences between the formed clusters. The congruence between classifications can be quantified by clustering agreement measures, including pairwise agreement measures. Several measures have been proposed and the importance of obtaining confidence intervals for the point estimate in the comparison of these measures has been highlighted. A broad range of methods can be used for the estimation of confidence intervals. However, evidence is lacking about what are the appropriate methods for the calculation of confidence intervals for most clustering agreement measures. Here we evaluate the resampling techniques of bootstrap and jackknife for the calculation of the confidence intervals for clustering agreement measures. Contrary to what has been shown for some statistics, simulations showed that the jackknife performs better than the bootstrap at accurately estimating confidence intervals for pairwise agreement measures, especially when the agreement between partitions is low. The coverage of the jackknife confidence interval is robust to changes in cluster number and cluster size distribution

3′ end mRNA processing: molecular mechanisms and implications for health and disease

Recent advances in the understanding of the molecular mechanism of mRNA 3′ end processing have uncovered a previously unanticipated integrated network of transcriptional and RNA-processing mechanisms. A variety of human diseases impressively reflect the importance of the precision of the complex 3′ end-processing machinery and gene specific deregulation of 3′ end processing can result from mutations of RNA sequence elements that bind key specific processing factors. Interestingly, more general deregulation of 3′ end processing can be caused either by mutations of these processing factors or by the disturbance of the well-coordinated equilibrium between these factors. From a medical perspective, both loss of function and gain of function can be functionally relevant, and an increasing number of different disease entities exemplifies that inappropriate 3′ end formation of human mRNAs can have a tremendous impact on health and disease. Here, we review the mechanistic hallmarks of mRNA 3′ end processing, highlight the medical relevance of deregulation of this important step of mRNA maturation and illustrate the implications for diagnostic and therapeutic strategies