The multiple cycle data generated for NEPA is perhaps the most robust multicycle dataset generated thus far for any approved antiemetic.
With the largest number of taxa and most robust molecular/morphological dataset ever used in a phylogenetic study of anomurans, our study once again shows Lithodoidea to be nested within Paguridae.
Using the most robust RNAPII datasets in each group (MCF-7 and HUVEC for 'cancer' and 'normal', respectively), we found that this dramatically reduced set still shows robust enrichment for tiRNAs at CTCF-RNAPII sites (Additional file 4, Figure S2).
Also, we emphasize that this cluster was present in almost all subalignments; it is one of the most robust signals in the CS dataset.
A cross-validated dataset may be the most robust estimate available, compensating for underreporting to both datasets by including all deaths registered in any of the two.
Of the three platforms, the U133A dataset was the most robust with regard to the number of arrays, biological replicates, diversity of tissues, probes identified, and gene annotation.
Because we aimed to obtain the most robust classifier possible, and had access to 2 reliable datasets (our own dataset with 26 samples [training dataset B] and the dataset of Borup et al. with 40 samples [dataset A]), we decided to use both of them sequentially for classifier construction.
The LD-thinned datasets provide the most robust results because the probability of seeing an overlap p value equal to or less than the original analysis p value by chance is unlikely.
Finally, based on sound statistical results and a priori hypotheses, Model 4 was considered to be the most robust and was subsequently imposed on the confirmatory dataset to test its validity.
Overall, we hypothesize that the 127 gene signature that was derived from the six pooled datasets is one of the most robust signatures currently available.
