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Not only does this reap incredible scientific rewards, the combined datasets from the different observatories often make spectacular images that help all viewers get a more complete picture of our fascinating Universe.
In addition to showing the benefits of the integrative detection, these results can also be used for comparative evaluation of the detection power among the individual datasets from the different screening approaches.
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A complete microarray dataset from the different comparisons are presented as supplementary material (Additional file 2: Table S1).
Table 4 contains the number of ESTs in each dataset from the different genomes and the total number of assembled DArT sequences that aligned to each dataset.
Datasets taken from the different studies were coded accordingly.
The datasets generated from the different methods led to essentially the same conclusions as described in the main text (Additional file 1, Figure S7).
In fact, the datasets generated from the different methods led to essentially the same conclusions as those in the present paper (data not shown).
Datasets from the two different temperatures were handled separately.
Second, we discussed whether the datasets from different species have different impact on the performance of different algorithms.
To accomplish the randomness of the decisions on each pixel of a slice of the liver dataset was calculated from the different segmentations produced by the initialization of different individuals [ 50].
Our results indicate that multi-task learning methods using 10 personality annotations as tasks and with a transfer from two different datasets from different domains improve the overall recognition performance.
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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