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It achieved an impressive average accuracy rate higher than 97 % and high precision (times ) recall rates for all datasets indicating that the MDL classifier makes few mistakes.
The unsupervised analysis clusters together with remarkable precision sequences belonging to the same datasets, indicating that the integration sites of different vectors are defined by specific patterns of flanking TFBS motifs.
Reassuringly, 96% of the proteins identified in this filtered Q-TOF dataset are also found in the filtered LTQ datasets, indicating that the chloroplast preparations were highly reproducible and consistent with the higher sensitivity of the LTQ-Orbitrap.
In contrast, the original Psi-square algorithm shows little difference in sensitivity between the COG-06 and COG-04 datasets, indicating that pseudocounts help best when the dataset contains more sparse data.
(iii) Genes involved in cell cycle pathway are also common to the three datasets, indicating that cells keep a tight regulation of the genes involved in essential living functions (maintenance, proliferation, survival).
Of these miRNAs 144 were found to overlap between datasets, indicating that in PMBCs approximately 16.5% of miRNAs studied were reduced by 2-fold with age (Fig. 2, Table S2).
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Performance metrics of both validation and calibration datasets indicated that V 2 was a moderately good predictor of bole MOE.
Experimental results on two large real datasets indicate that the proposed incremental slope-one recommenders can correctly reflect the increments of dynamic datasets with high computational efficiency.
The test results of the ISPRS datasets indicate that the proposed algorithm achieved low commission errors ranging from 1.53% to 6.91%.
An extensive experimental comparison with two public EEG datasets indicates that the MKELM method gives higher classification accuracy than those of the other competing algorithms.
Extensive experiments on several commonly used image SR testing datasets indicate that the proposed method achieves state-of-the-art image SR results.
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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