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We have produced 2000 ESTs (1.2 mega bases) from a marsupial mouse and characterized the data for their use in phylogenetic analysis.
The resulting prediction for the 1- and two-dimensional classifier characterized the data for untrained sequences quite well.
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There have been some researches devoted to characterize the data traffic flow for mobile communication systems [32, 33].
It is important to analyze and characterize the data processing performance for a given cloud cluster and to evaluate the performance bottlenecks in a cloud cluster that contribute to higher or lower computing processing time.
This chapter also discusses metrics for characterizing the data migration problem, the typical legacy data sources for automated mapping/facilities management (AM/FM) features, and the typical target model AM/FM characteristics.
Any of the normal, lognormal, extreme minimum value and extreme maximum value distributions might be an appropriate assumed distribution for characterizing the data.
Ultimately, the absence of a robust d to characterize the data is an insurmountable obstacle for the framework.
In the Abstract, we characterize the data as "providing in vivo evidence for the idea that developing neurons…" and in the Discussion we characterize the intermediate target hypothesis as a "model" and we write that the data "provide in vivo evidence for this model", and that "alternative models are also consistent with the data".
The performance of learning system is improved largely owing to the two facts: quasiconformal kernel structure changes the data structure in the kernel empirical space; quasiconformal multikernels characterize precisely the data for improving performance on solving complex visual learning tasks.
TransCareO will be the first study to provide a comprehensive assessment of the provisional situation and in addition a full examination of the sociocultural findings, values, beliefs and attitudes, and competing demands that influence adolescents with MRKHS (as an orphan disease) in transition, characterizing the baseline data for an implementation and evaluation study [ 43].
Descriptive analyses were conducted to characterize the sample and examine the data for violation of statistical assumptions.
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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