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As gene expression profiles of both normal and tumor tissue represent the combined signal of all cell types present in a sample: a global evaluation of the immunological component of normal tissue profiles was attempted, prior to the particular goal of quantifying such for tumors.
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Based on the aligned samples, a global deformable model is constructed, and three local models are constructed from the segmented patches of the eye, nose, and mouth.
While a causal relationship still needs to be proved, we admire the mathematical elegance of the Normalized Shannon Entropy of the samples, a global measure of the average expected surprisal of the transcriptome, which in turn has lead us to consider the dysfunction of the smallest nuclear body as a putative biomarker of disease progression.
Using the total number of samples, a global median was calculated in order to establish an internal cut off point to differentiate low from high cellularity.
Based on the Markov Chain Monte Carlo process, EGHG combines two guided sampling strategies: a global sampling strategy and a local sampling strategy.
Cardiorespiratory fitness (CRF) has shown to improve the classification beyond traditional risk factors and cumulative lifetime risk of death, however, there is no formal multicenter database that provides representative sample on a global scale to accurately interpret CRF measures.
Their data sample is a "global dataset" that includes data from several research software projects conducted by different entities.
An ANN is constructed and trained using original model samples, which can then be used as a surrogate model to generate numerous samples for a global sensitivity analysis with Sobol' sensitivity estimation or RS-HDMR.
They compared the animal samples to a global collection of human ones.
Both old and young samples have a global distribution (Fig. 1).
To answer this question, further population genetic investigations based on an extensive sampling on a global scale are currently underway by our research team using the international ISHAM consensus MLST scheme.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com