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To test this "secondary lost" prediction and to illuminate the distribution and evolution of RNA-editing sites in the clade of liverworts and plants in general, we sequenced the chloroplast genome of the liverwort P. endiviifolia (Dicks).
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In [2, 3], efficient two-dimensional ray-tracing algorithms for an indoor environment have been presented, resulting in a significant reduction in the computational time, without losing prediction accuracy.
However, even at the risk of losing prediction accuracy due to insufficient runtime information, researchers can only afford to apply offline model training to avoid significant runtime training overhead.
ExonScan does not seem to lose prediction quality when confronted with sequences from other closely related organisms.
Recently, a new method was developed to automatically explain the prediction results of any machine learning model without losing prediction accuracy [ 160].
Our program outputs a series of cluster sets that have increasing discrimination power for training samples without losing prediction power on the test samples, as indicated in our experimental results.
Alignments of these showed that six duplets lost target predictions due to gene models being highly truncated compared to the other copy with the target site entirely missing.
Due to this constraint, using a single decision tree usually loses some prediction accuracy [ 39].
For another ten tosses a correct prediction lost the same amounts.
That is a lot of inbound tourism and business travel for an economy to lose.These predictions are not set in stone.
We observed a significant restoration in prediction rate for H3K4me2, likely due to the restoration of correct CpG content, since prediction was lost in a control experiment when we only permuted the content of CpG-containing sequence features while keep everything else the same (Additional file 4: Figure S4).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com