DataSheet_3_Evaluating NetMHCpan performance on non-European HLA alleles not present in training data.xlsx by Thomas Karl Atkins (17791715)

“…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. …”

Table 6_Quantitative proteomic analysis reveals potential serum diagnostic markers for colorectal adenoma.xlsx by Chengli Yu (1445185)

“…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. …”

Table 3_Quantitative proteomic analysis reveals potential serum diagnostic markers for colorectal adenoma.xlsx by Chengli Yu (1445185)

“…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. …”

Table 1_Quantitative proteomic analysis reveals potential serum diagnostic markers for colorectal adenoma.xlsx by Chengli Yu (1445185)

“…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. …”

Table 4_Quantitative proteomic analysis reveals potential serum diagnostic markers for colorectal adenoma.xlsx by Chengli Yu (1445185)

“…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. …”

Data Sheet 1_Quantitative proteomic analysis reveals potential serum diagnostic markers for colorectal adenoma.docx by Chengli Yu (1445185)

“…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. …”

Table 5_Quantitative proteomic analysis reveals potential serum diagnostic markers for colorectal adenoma.xlsx by Chengli Yu (1445185)

“…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. …”

Rheological behavior of concentrated tucupi by Telma dos Santos COSTA (4618960)

“…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. …”

Rheological behavior of concentrated tucupi by Telma dos Santos COSTA (4618960)

“…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. …”

Blind Predictions of DNA and RNA Tweezers Experiments with Force and Torque by Fang-Chieh Chou (414477)

“…These calculations recovered the experimental bending persistence length of dsRNA within the error of the simulations and accurately predicted that dsRNA's “spring-like” conformation would give a two-fold decrease of stretch modulus relative to dsDNA. …”

Simulated temporal dynamics in E2F activation using the stochastic Rb-E2F model. by Tae J. Lee (241477)

“…<p>(A) Stochastic simulations (25 events) exhibit variable time delays in E2F activation, as shown in gray lines. …”

DataSheet1_Non-target screening to track contaminant removal and release during nature-based water treatment.docx by Charlotte Guy (18392850)

“…Natural products predominantly increased after RB contact, while compounds exhibited a significant 75% decrease in peak area are mainly pharmaceuticals. …”

Table7_Non-target screening to track contaminant removal and release during nature-based water treatment.xlsx by Charlotte Guy (18392850)

“…Natural products predominantly increased after RB contact, while compounds exhibited a significant 75% decrease in peak area are mainly pharmaceuticals. …”

Table6_Non-target screening to track contaminant removal and release during nature-based water treatment.xlsx by Charlotte Guy (18392850)

“…Natural products predominantly increased after RB contact, while compounds exhibited a significant 75% decrease in peak area are mainly pharmaceuticals. …”

Roles of AREG and fibronectin in progesterone production of granulosa cells. by Hiroya Kitasaka (4840218)

Additional file 6 of NSDHL contributes to breast cancer stem-like cell maintenance and tumor-initiating capacity through TGF-β/Smad signaling pathway in MCF-7 tumor spheroid by So-Hyun Yoon (5353250)

“…Supplementary Material 6: Figure S6. A-83-01 (50 µM) decreased the phosphorylation of both SMAD2 and SMAD3 but did not show significant toxicity in MCF-7-spheroids. …”

Low <i>VHL</i> mRNA Expression is Associated with More Aggressive Tumor Features of Papillary Thyroid Carcinoma by Boban Stanojevic (672033)

Table_1_Bolivia's Net Zero path: Investment needs, challenges, and opportunities.XLSX by Lykke E. Andersen (3176322)

Nicotinic Acetylcholine Receptor Subunits α4 and α5 Associated with Smoking Behaviour and Lung Cancer Are Regulated by Upstream Open Reading Frames by Marlene Eggert (429103)

Data_Sheet_1_Grazing during the grassland greenup period promotes plant species richness in alpine grassland in winter pastures.docx by Wanrong Wei (13256412)