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step decrease » sizes decrease (Expand Search), teer decrease (Expand Search)
ng decrease » nn decrease (Expand Search), _ decrease (Expand Search), gy decreased (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
2 step » _ step (Expand Search), a step (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search)
ng decrease » nn decrease (Expand Search), _ decrease (Expand Search), gy decreased (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
2 step » _ step (Expand Search), a step (Expand Search)
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18941
DataSheet_5_Evaluating NetMHCpan performance on non-European HLA alleles not present in training data.xlsx
Published 2024“…Thus, investigating the composition of training datasets used in machine learning models with healthcare applications is vital to ensure equity. Two such machine learning models are NetMHCpan-4.1 and NetMHCIIpan-4.0, used to predict antigen binding scores to major histocompatibility complex class I and II molecules, respectively. …”
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18942
DataSheet_7_Evaluating NetMHCpan performance on non-European HLA alleles not present in training data.xlsx
Published 2024“…Thus, investigating the composition of training datasets used in machine learning models with healthcare applications is vital to ensure equity. Two such machine learning models are NetMHCpan-4.1 and NetMHCIIpan-4.0, used to predict antigen binding scores to major histocompatibility complex class I and II molecules, respectively. …”
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18943
DataSheet_4_Evaluating NetMHCpan performance on non-European HLA alleles not present in training data.xlsx
Published 2024“…Thus, investigating the composition of training datasets used in machine learning models with healthcare applications is vital to ensure equity. Two such machine learning models are NetMHCpan-4.1 and NetMHCIIpan-4.0, used to predict antigen binding scores to major histocompatibility complex class I and II molecules, respectively. …”
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18944
DataSheet_3_Evaluating NetMHCpan performance on non-European HLA alleles not present in training data.xlsx
Published 2024“…Thus, investigating the composition of training datasets used in machine learning models with healthcare applications is vital to ensure equity. Two such machine learning models are NetMHCpan-4.1 and NetMHCIIpan-4.0, used to predict antigen binding scores to major histocompatibility complex class I and II molecules, respectively. …”
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18945
Dose effect on response frequencies and latencies.
Published 2013“…<p>(<b>A</b>)<b>.</b> Peristimulus time histogram (PSTH) built using 11 neurons and a sliding window of 100 ms (50 ms overlap). …”
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18946
Rheological behavior of concentrated tucupi
Published 2018“…Rheology at 25 °C indicated that the partial gelification of starch during concentration causes a decrease in the product’s viscosity and, if the concentration is carried out at a temperature that favors total starch gelification, the product’s viscosity increases. …”
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18947
Rheological behavior of concentrated tucupi
Published 2019“…Rheology at 25 °C indicated that the partial gelification of starch during concentration causes a decrease in the product’s viscosity and, if the concentration is carried out at a temperature that favors total starch gelification, the product’s viscosity increases. …”
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18948
Enhanced electropermeabilization of peroxidized cells with both ultra-short and conventional electric pulse treatments.
Published 2013“…Peroxidized cells treated with a single 100 µs, 50 kV/m pulse show a similar increased susceptibility to electropermeabilization. …”
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18949
Table 6_Quantitative proteomic analysis reveals potential serum diagnostic markers for colorectal adenoma.xlsx
Published 2025“…The alterations in these candidate proteins were further validated by ELISA to evaluate their potential as diagnostic biomarkers for colorectal adenoma.</p>Results<p>In two independent cohorts, we identified two candidate biomarkers, apolipoprotein A4 (APOA4) and filamin A (FLNA), through a multi-step selection process involving ANOVA p-value screening, sparse partial least squares discriminant analysis (sPLS-DA), and LASSO regression analysis. …”
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18950
Table 3_Quantitative proteomic analysis reveals potential serum diagnostic markers for colorectal adenoma.xlsx
Published 2025“…The alterations in these candidate proteins were further validated by ELISA to evaluate their potential as diagnostic biomarkers for colorectal adenoma.</p>Results<p>In two independent cohorts, we identified two candidate biomarkers, apolipoprotein A4 (APOA4) and filamin A (FLNA), through a multi-step selection process involving ANOVA p-value screening, sparse partial least squares discriminant analysis (sPLS-DA), and LASSO regression analysis. …”
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18951
Table 1_Quantitative proteomic analysis reveals potential serum diagnostic markers for colorectal adenoma.xlsx
Published 2025“…The alterations in these candidate proteins were further validated by ELISA to evaluate their potential as diagnostic biomarkers for colorectal adenoma.</p>Results<p>In two independent cohorts, we identified two candidate biomarkers, apolipoprotein A4 (APOA4) and filamin A (FLNA), through a multi-step selection process involving ANOVA p-value screening, sparse partial least squares discriminant analysis (sPLS-DA), and LASSO regression analysis. …”
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18952
Table 4_Quantitative proteomic analysis reveals potential serum diagnostic markers for colorectal adenoma.xlsx
Published 2025“…The alterations in these candidate proteins were further validated by ELISA to evaluate their potential as diagnostic biomarkers for colorectal adenoma.</p>Results<p>In two independent cohorts, we identified two candidate biomarkers, apolipoprotein A4 (APOA4) and filamin A (FLNA), through a multi-step selection process involving ANOVA p-value screening, sparse partial least squares discriminant analysis (sPLS-DA), and LASSO regression analysis. …”
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18953
Data Sheet 1_Quantitative proteomic analysis reveals potential serum diagnostic markers for colorectal adenoma.docx
Published 2025“…The alterations in these candidate proteins were further validated by ELISA to evaluate their potential as diagnostic biomarkers for colorectal adenoma.</p>Results<p>In two independent cohorts, we identified two candidate biomarkers, apolipoprotein A4 (APOA4) and filamin A (FLNA), through a multi-step selection process involving ANOVA p-value screening, sparse partial least squares discriminant analysis (sPLS-DA), and LASSO regression analysis. …”
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18954
Table 5_Quantitative proteomic analysis reveals potential serum diagnostic markers for colorectal adenoma.xlsx
Published 2025“…The alterations in these candidate proteins were further validated by ELISA to evaluate their potential as diagnostic biomarkers for colorectal adenoma.</p>Results<p>In two independent cohorts, we identified two candidate biomarkers, apolipoprotein A4 (APOA4) and filamin A (FLNA), through a multi-step selection process involving ANOVA p-value screening, sparse partial least squares discriminant analysis (sPLS-DA), and LASSO regression analysis. …”
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18955
Simulated temporal dynamics in E2F activation using the stochastic Rb-E2F model.
Published 2010“…<p>(A) Stochastic simulations (25 events) exhibit variable time delays in E2F activation, as shown in gray lines. …”
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18956
DataSheet1_Non-target screening to track contaminant removal and release during nature-based water treatment.docx
Published 2024“…Natural products predominantly increased after RB contact, while compounds exhibited a significant 75% decrease in peak area are mainly pharmaceuticals. …”
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18957
Table7_Non-target screening to track contaminant removal and release during nature-based water treatment.xlsx
Published 2024“…Natural products predominantly increased after RB contact, while compounds exhibited a significant 75% decrease in peak area are mainly pharmaceuticals. …”
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18958
Table6_Non-target screening to track contaminant removal and release during nature-based water treatment.xlsx
Published 2024“…Natural products predominantly increased after RB contact, while compounds exhibited a significant 75% decrease in peak area are mainly pharmaceuticals. …”
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18959
Transfection of catalytically active BPLF1 inhibits activation of the DDR and DNA repair in etoposide treated HeLa cells.
Published 2021“…Mean ± SE of two or three independent experiments where a minimum of 50 BPLF1 positive and 50 BPLF1 negative cells was scored in each condition.…”
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18960