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As the number of transcriptomic datasets for different dinoflagellate species increases, deeper insights into the functional differences between toxic and non-toxic variants, even within a species, as well as into mechanisms of HAB formation, will be gained.
The algorithm should also be further validated in lager datasets for different ICUs.
PETS datasets [48] have a number of datasets for different purposes of vision-based research.
Several different solar radiation datasets for different states of U.S. are used to evaluate the performance of the proposed forecasting model.
This approach can be extended to different tools and different kinds and sizes of chemical datasets for different toxic endpoints as well.
Performance Evaluation of Tracking and Surveillance (PETS) datasets [48 59] have a number of datasets for different purposes of vision-based research.
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We generated different views of the dataset for different purposes.
We have executed the algorithm using the 100M synthetic dataset for different split schemes, more specifically for 10 90, 30 70, 50 50, 70 30 and 90 10% testing training.
To estimate the number of fundamental patterns using the LDA approach, we measured the log likelihood of the dataset for different numbers of bases using cross-validation.
Figure 4a, shows the root mean squared error on the test dataset for different algorithms as a function of the relative test set size.
IPA will associate genes from the input dataset for different functional categories and calculate a p-value using the right-tailed Fisher's exact test to assess the statistical significance of the enriched genes for a functional category in relation to the initial input dataset and the total number of genes in the database involved in the function.
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