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Limitations of the current dataset should be noted.
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Supervised learning assumes that the distribution of the training dataset should be identical to that of test dataset.
The target dataset should be carefully chosen.
Although in the current datasets, there should be no real LPVs based on the parental strain analysis, V-Phaser 2 did predict 5 insertions in MiSeq data (Table 4) and 2 insertions in the 24-mix data.
Theoretically, it is logical that the performance on datasets that are identical or homologous to training datasets should be better than that on independent datasets.
The current study should be considered hypothesis-generating given the limited number of chromosomes containing B* 39, even in this large T1DGC dataset.
(c) The current dataset is loaded in memory with [use].
The current bills should be dropped forthwith.
The current results should be interpreted cautiously.
The limitations of the current study should be acknowledged.
The limitations of the current study should be addressed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com