After all the data were analyzed, we compared our results to the original results to evaluate the confidence of the automatically generated simulation.
Due to the poor resolution of the MUMmer plot when all genome contigs were analyzed, we compared long intact regions of the genomes.
Finally, in order to give a statistically significance to our predictions, we computed 1000 shuffled versions of the three analyzed lincRNAs and we compared the score of the original comparisons with respect to those obtained by unrelated sequences.
For the ROIs of case 1 analyzed by IMS, we compared the average intensities of these 15 detected peaks between the War-T and Non-T regions by using Welch's t test.
Systematically analyzing those diaries, we compared the events occurring on the best days with those on the worst.
In analyzing this tradeoff, we compared the speed and ease of use when transacting online, drawing upon data on multiple sources of friction — regulatory, infrastructural, and identity and interface-related.
To analyze the data, we compared the genetic composition of four pairs of segregants derived from each ascus such that each pair represented adjoining spores in the ascus.
To analyze the data, we compared the average ratios of Lgl AAA, Lgl AAA with aPKC, and Lgl wt with aPKC against all the other ratios using one-way analysis of variance (ANOVA).
Analyzing 1479 simulation runs, we compared the performances of a group of experienced professionals with those of an inexperienced control group.
In this work, instead of comparing the MFE structures to analyze two different sequences, we compared the two ensembles of structures corresponding to the sequences.
