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This dataset enabled us to compare volumes of temporal regions (amygdala and hippocampus), the orbitofrontal cortex (OFC), the caudate nucleus, the lateral ventricles, and total cerebral volume between Caucasian and African-American participants.
The AfCS dataset enabled us to cluster the calcium elevation and cAMP production into four clusters, and each cluster corresponds to a group of genes involved in distinct cellular processes.
This dataset enabled us to train HMMs for identifying SLiM-binding domains.
Our new pyrophosphate sequencing dataset enabled us to examine this observation on a larger scale.
Sequencing and analyzing a large sequence dataset enabled us to resolve most of the evolutionary relationships among Rodentia.
The present Sho dataset enabled us to better define the extent of sequence conservation between PrPs and Shos.
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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.
In addition to analyzing the geo-dependence of face appearance, the GeoFaces dataset enables us to explore non-geographic dependence.
The resultant dataset enables us to study not only the researchers' motives and barriers but also the effect of those motives and barriers on the extent to which the respective activities are undertaken.
This latter dataset enables us to assess the positions of all studied populations.
Introduction of controlled changes into the expression dataset enables us to address many problems associated with pre-processing and analysis of microarray data, including the quality dependence of the analysis from the threshold of minimal gene expression, the influence of fold change restrictions, and other factors.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com