Sentence examples for comprehensive comparison of data from inspiring English sources
A comprehensive comparison of data with theoretical predictions is presented in a recent review.
RAB is responsible for the idea of a comprehensive comparison of data pretreatment methods, and performed the statistical analyses.
When users click on the track options, a multiple-alignment trace view is launched that displays all traces that are of interest as well as the related control groups, enabling a more comprehensive comparison of data from different studies.
Although not exactly meeting the degradation reactions addressed in this section, AIBN results are prepended to allow for a more comprehensive comparison of data as given by the authors.
Unfortunately, a comprehensive comparison of our behavioral data to the physiology of Or-expressing neurons is not possible because the odor set used by Kreher et al. (2008) does not include data for all odor pairs employed here.
Hence, the current review is intended to help both the database end-users and the databases developers by providing the comprehensive comparisons of the data contents and the technical features available in the selected databases.
The discussions provide insight into the mechanisms behind the complex nearshore dynamics and demonstrate the strengths and weaknesses of the two methods in a comprehensive comparison of available wave and current data.
Based on this large data set with known truth, the authors have performed a comprehensive comparison of segmentation methods for array-CGH data based on receiver operator characteristic (ROC) curves.
A comprehensive comparison of different normalization methods for Illumina data has been reported previously [ 22].
During the present study, our comprehensive comparison of the large collection of microarray data in rice (i.e. Genevestigator platform) clearly indicated that rice SKP1 genes exhibited an expression profile that was heterogeneous in terms of tissues, conditions and overall intensity.
A comprehensive comparison of available proteome, transcriptome and ribosome profiling data in yeast found widespread errors due to noisy data and incomplete coverage (DOI: 10.1371/journal.pgen.1005206), accounting for most of the discrepancies between mRNA and protein abundance.
