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More precise predictions and assessment for Arabidopsis mitochondrial proteomics from diverse methodologies or datasets have not been considered yet.
However, these early applications of meta-analyses on such datasets have not accommodated between-study heterogeneity in the data synthesis.
However, many of the genes found to be expressed in the inner ear sensory epithelia, according to the transcript and protein datasets, have not been identified in the inner ear thus far, and their functional role is yet unknown.
The studies described above have provided a valuable comparison of growth conditions, but these individually-gathered datasets have not been fully integrated to provide a systems biology view of metabolism, which is crucial to understanding methylotrophic growth and predicting metabolic manipulations for industrial benefit.
It has to be emphasized that the datasets have not been adjusted for possible confounders.
Currently, the interpretation of these results can be cumbersome, since the available datasets have not been collected under controlled conditions.
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However, OTF design for 4D datasets has not been exhaustively discussed until now.
In contrast, providing storage capacity to manage and preserve their datasets had not been considered in depth.
Adding approximately 800 more attributes to the larger 'b' datasets has not had an effect on the setting of the misclassification costs.
However, the parallel implementation with granularity control, an efficient strategy to reap the best parallel performance and to break the limitation of computing resources in processing massive grid terrain datasets, has not been found in DTA research field.
A key concern of the committee at the time was that rules governing use of the datasets had not been defined in legislation (although the UK government has since passed a new investigatory powers framework that enshrines various state surveillance bulk powers in law).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com