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Both features were shown to couple two specific forms of variability, i.e., expression noise and plasticity.
To design effective cancer treatments, we will have to account for these diverse forms of variability and incorporate them into our systems biology models of cancer treatments.
Furthermore, homogenous samples effectively limit (by default) forms of variability that are important considerations in ethical implementation, including behavioural characteristics, cultural and ethnic traditions and gender norms.
In order to minimize the effect of both forms of variability all samples were drawn in fasting state, and results were compared to the results of measurements in healthy premenopausal controls, using the same method.
Both these forms of variability are smoothed by averaging over the population, provided, as we will assume, that there are enough cells and noise is not too correlated between cells.
Both these forms of variability are smoothed out by averaging over the population, provided there are enough cells and noise is homogeneous and not too correlated – we assume this.
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These factors make difficult the development of quantitative tools to design and evaluate different management strategies performances by taking into account various form of variability and uncertainty.
Another form of variability derives from differences between hiPSC lines derived from different patients, or inter-patient variability.
However, spectral analysis should not be the only form of variability analysis because there are patterns of variation that are present across the frequency spectrum, involving long-range organization and complexity.
As important as these two orientations, other forms of cultural variability have been overlooked.
Anders and Huber report on variation in pools of two fruit fly embryos [ 6]; however, to date there is no thorough report on the functional form of variance in variability in mRNA Sequencing data from true human biological replicates.
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