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Since the MEONF-II generates different outcomes, these statistics were primarily interpreted in association with the following outcomes: K and AC1 for the 2-category classification (identifying no/low risk versus moderate/high risk), Kw and AC1 w for the 3-category classification (no/low – moderate – high risk), and ICC for the total score [ 23].
Again, the addition of CA19-9 simprovedntly imP<0.05 (P<0.05) the classification, identifying 93% of PC and 84% of HV samples (ROC AUC: 0.96 (0.91–1.00)), which was greater than that for CA19-9 alone (ROC AUC: 0.81 (0.61–0.92), but this did not reach significance.
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The classification identifies woodlands with a high priority for including visitor pressure in management planning.
Statistical methods of classification identified 66.7% of the G. salaris, demonstrating the need for much wider training.
EC-BLAST has the potential to improve enzyme classification, identify previously uncharacterized or new biochemical transformations, improve the assignment of enzyme function to sequences, and assist in enzyme engineering.
Outputs from this classification identify rectangular and linear features of archaeological interest whose size suggested that they may be a farm and some sectors of an aqueduct, respectively.
The biomarker classification identified seven categories that provide different insights into the kinetics of drug action, such as target site distribution, target engagement, or into the impact of the drug on physiology or disease.
The results obtained using this method correspond well with the soil erosion risk assessment carried out in the field, with over 69% in agreement and 95% of the results obtained being within ±1 erosion classification identified by the field data.
The final classification identified 80 MOH patients, 8 chronic migraine (CM) patients, and 18 CTTH patients.
KEGG classification identified a total of 49, 32, and 25 significantly enriched pathways (Q value < 0.05) for DEGs between the FR and MG, FR and YG, and MG and YG libraries, respectively (Additional file 5: Table S3).
In this study, ABC + Lactate classification identified a large group of patients with good long-term prognosis, and a smaller but sizeable group of patients with almost universally poor outcome (Fig. 4).
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