Sentence examples for experiments data sets from inspiring English sources

In our experiments, data sets are comprised of a variety of mine and background signatures.

Results of our study do not confirm whether laboratory or field experiments data sets are most appropriate to predict soil water fluctuations in a complete soil profile, while field experiments are preferred in many studies.

Assessment of the parameter relevance in 1-D model simulations, illustrated that the model over predicted and under predicted top soil-water content using laboratory and field experiments data sets respectively.

Raw data sets were normalized as follows: for binding and remodeling experiments, data sets were normalized to the same starting value for Cy3 fluorescence, and for competition experiments, data sets were normalized to the same value for Cy3 fluorescence at the 2.01998 s time point and truncated before this.

We infer the topology and logic of the network between 328 genes of S. cerevisiae from microarrays from 292 conditional essential mutants (data set 1, from [ 17]), 40 strains overexpressing a unique transcription factor gene (data set 2, from [ 18]), and 84 new perturbation experiments (data set 3).

Table 2 Experiment data sets for the evaluation of the neural network.

It was applied to improve parameter estimation for four typical tracer experiment data sets in the literature using multi-model evaluation and comparison.

HCE [ 64, 65] http://www.cs.umd.edu/hcil/hce/ stands for Hierarchical Clustering Explorer for Interactive Exploration of Multidimensional Data, such as microarray experiment data sets.

In this first experiment, data sets were created where the variable instigating the missingness was either (1) not missing, or (2) 50% MCAR.

Therefore, we addressed their expression using blastn and the SRA SRP033257 experiment data sets for M. truncatula (a mixed sample of M. truncatula root knot galls infected with M. hapla).

Built on top of this ontology-based and flexible data model paradigm, toxoMine integrates a number of publicly available data sets and high-throughput experiment data sets by extending the 'core' data models with the addition of high-throughput experiment data-specific model definitions.