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Genes underexpressed in MM datasets were compared to literature defined concepts in Oncomine, using the built in t-statistics.
Therefore, the major-rule consensus topologies obtained by the 7 different 14-taxon datasets were compared to each other based on each of these datasets using the S-H test.
In order to determine the coverage of regions inferred to be undergoing recent adaptive selection [12], [13], all SNPs detected by the LD decay (LDD) test in the Perlegen and HapMap datasets were compared to the Illumina 1M and Affymetrix 6.0 SNPs.
The results from three datasets were compared to examine the reproducibility of the methods.
The Hg frequencies within the ancient datasets were compared to those in modern Scandinavian dogs [ 9] using χ2 tests.
For each timepoint the four GeneChip datasets were compared to identify differentially expressed genes involved in the different aspects of the inoculation response.
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The calibrated datasets are compared to ground-based observations, showing an improvement for more than 65% of the sites tested.
The classification accuracies from using wet season, dry season and multi-seasonal datasets are compared to gain insights about the optimal timing for image acquisition.
The mean eigenvalues of the factors extracted from the random parallel datasets are compared to the samples' eigenvalues.
The SSU processome protein coverage of the aforementioned datasets was compared to coverage from literature-curated (LC) sources [37] [51].
The numbers of detected time series from the datasets are compared to evaluate the robustness of the methods against noise.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com