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The agreement between the human and mouse cell-type enrichment datasets enabled us to use the Allen Brain Atlas to localize age-related gene expression changes in both species.
The present study using large datasets enabled us to more comprehensively and precisely evaluate the effect of probiotics on gut microbiota than the previous probiotic intervention researches in which the analysis exclusively focussed on only several limited bacterial species using conventional methods.
Mathematically defined repeats calculated on the basis of frequency of overlapping 20-mers (Kurtz et al. 2008) in the BES datasets enabled us to catalog our BAC clones as mid, low, and high repetitive.
We found that only the combination of all provided datasets enabled us to predict particularly difficult network motifs.
These datasets enabled us to address whether the reduction of disorder in TFs is a result of genome reduction or structural-functional alteration.
These two large and representative datasets enabled us to assess accurately odds ratios among cases and their matched controls and to test our hypothesis.
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In contrast to different case studies examining the properties of individual TIDs, statistical studies, using wide datasets, enable us to reveal the general pattern of AGW propagation.
Inverse modeling of the Hg retraction datasets enables us to estimate a set of primary and secondary IAFs.
The simulated datasets enable us to objectively demonstrate that the proposed method outperforms some existing methods when no high-quality EOG signals are available.
When coupling the 2-site sorption model with the 2-region transport model, except of the kinetic sorption parameters, the soil column datasets enable us to estimate the mass-transfer coefficients associated with solute diffusion between mobile and immobile regions.
The four datasets enable us to increase how demanding our EEM parameterization was in a stepwise manner and therefore show the strong and weak points of the LR and DE-MIN EEM parameterization approaches.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com