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To assign putative functional roles to individual clusters, we conducted a comprehensive literature review for functionally characterized fungal CYPs.
With the hicloud computing clusters, we conducted the experimental runs for datasets 2, 3, and 4, to evaluate the proposed approach.
To test whether paralogs were significantly enriched in the clusters, we conducted the following background calculation: we first generated, for each cluster, two groups of genes drawn randomly either from the list of 7,405 differentially expressed genes or from genes present on the microarrays used in this study.
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In each identified emotion cluster, we conducted random effects GLM region of interest (ROI) analyses to extract beta values that were subsequently applied to statistical comparisons between emotional expression conditions, and correlated with VSTM task performance values.
To identify the known experimental parameters that most influenced sample clustering, we conducted PVCA.
As we cannot know the appropriate scale a priori for the NAt cluster, we conducted the IBD analyses considering the range at three different spatial scales.
To identify demographic and clinical characteristics of MDR TB case clustering and to estimate the effect of specific isoniazid resistance conferring mutations and strain lineage on genotypic clustering, we conducted a population-based cohort study of all MDR TB cases reported in California from January 1 , 2004 through December 31 , 2007
In order to determine the pattern that might be seen with specific spatial scales of clustering, we conducted further simulations by imposed patterns with specific scales on the spatial coordinates of the homesteads, in varying proportions with random noise using a gamma distribution.
To avoid the impact of network latency and the heterogeneity of the Storm cluster, we conduct the first two groups of experiments on a single physical node.
In view of the aforementioned challenges in the context of device fingerprint-based image clustering, we conduct an in-depth study based on the work in [49] and propose a fast clustering framework for images of unknown sources.
Using the above four indicators as clustering variables, we conducted the cluster analysis to examine the current regional disparities of preschool education development in 31 provinces.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com