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One issue: data set size.
Per species and data set size, ten replicates were generated.
For each data set size, the entire data structure is created.
For each data set size we randomly picked samples from the original data set and repeated the procedure 100 times.
These data set sizes range from 47 to 1389 records.
The developed framework is tested against different data set sizes.
The queries are executed against different data set sizes.
But the more you research, the more you realize the myriad analyses are just more of the same inadequate data set, heavily biased by stereotypes and a general ignorance regarding lesbian identity.
Clearly, increasing the training data set size and diversity results in a better and more robust algorithm.
Figure 1 Data set size and computational power evolution.
Additional file 1: TE diversity vs genome size data set.
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