A summary of calibration standards (n = 3). حسب Ewa Paszkowska (21246702)

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The characteristics of patient groups were used to prove the method’s applicability. حسب Ewa Paszkowska (21246702)

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The observed MRM reactions. حسب Ewa Paszkowska (21246702)

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Differences in health-related quality of life indexes after disease onset between groups. حسب Ji Woong Chang (1829314)

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Intra- and inter-day precision and accuracy. حسب Ewa Paszkowska (21246702)

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Solvents for homogenization and extraction selection. حسب Ewa Paszkowska (21246702)

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Chromatograms presented the specificity of the proposed method. حسب Ewa Paszkowska (21246702)

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Demographic characteristics of the participants. حسب Ji Woong Chang (1829314)

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The mevalonate pathway (cholesterol biosynthesis): the place of action of statins, and their main effects. حسب Ewa Paszkowska (21246702)

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The RSD results were obtained for different proportions of the extraction solvent/tissue (each proportion was prepared in triplicate repetition, n = 3). حسب Ewa Paszkowska (21246702)

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Data file. حسب Ji Woong Chang (1829314)

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The influence of the controlled pH conditions at the sample preparation step on the obtained signals (panel A: extraction using a mixture of MeOH and EtOH; panel B: extraction usin... حسب Ewa Paszkowska (21246702)

الموضوعات:

Chromatograms proved the selectivity of the proposed method. Red line: tissue spiked at the LOQ level; green line: blank tissue. Panel A: SIM and SIMA; panel B: LOV and LOVA. حسب Ewa Paszkowska (21246702)

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Synthetic feasibility scores of 20 molecular fragments. حسب Bin Pan (742525)

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The scatter plot of the target variable solubility dataset. حسب Bin Pan (742525)

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Samples with the highest solubility after high-throughput screening. حسب Bin Pan (742525)

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Assessment values of machine learning models. حسب Bin Pan (742525)

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List of datasets in AqSolDB. حسب Bin Pan (742525)

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Schematic workflow diagram of the StackBoost model framework. حسب Bin Pan (742525)

الموضوعات:

Comparison of training and predicted values of compound water solubility for different machine learning models: (A) AdaBoost, (B) GBDT, (C) LGBM, (D) RF, (E) XGBoost, (F) RF, and (... حسب Bin Pan (742525)

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