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We developed an informatic pipeline to concurrently analyze metabolomics data from over 900 tissue samples spanning seven cancer types, revealing extensive heterogeneity in metabolic changes relative to normal tissue across cancers of different tissues of origin.
In addition, our results demonstrate the utility of using sequence-based approaches to concurrently analyze bacterial and fungal communities as such analyses provide detailed phylogenetic information on individual communities and permit the robust assessment of the biogeographical patterns exhibited by soil microbial communities.
PCA was used to concurrently analyze multiple bacterial characteristics.
While numerous tools exist for variant prioritization within a single genome, the ability to concurrently analyze variants within pedigrees remains a challenge, especially should there be no prior indication of the underlying genetic cause of the disease.
The resulting system can improve quality of clinical treatment by allowing clinicians to concurrently analyze and evaluate the clinical markers of prostate cancer patients with instantaneous clinical data and evidence-based diagrams which can automatically identify pretreatment parameters.
Although each technique has enabled significant advances in neurobiology, their limitations include investigations of only a single-cell type at a time, the need to use and maintain transgenic animals, and/or the inability to concurrently analyze nucleic acids and intracellular proteins in a single sample.
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Further, we concurrently analyzed the characteristics of the common view period.
Variability was minimized by implementing an in-well control that is concurrently analyzed with new chemical entity analytes.
Here, we concurrently analyzed the bacterial and developmental profiles of B. dorsalis and the rot effect in fruits to determine whether they co-varied.
Many parameters can be adjusted within this instrument system, and we implemented a factorial design-of-experiments to systematically test several combinations of parameter settings while concurrently analyzing effects and interactions.
The technique, called adaptive subdomain modeling, concurrently analyzes any number of child domains, with each instance corresponding to a unique design or failure scenario, in addition to a full-scale parent domain providing the boundary conditions for its children.
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