Feature importance of the extracted characteristics from the simulation using Mean Decrease in Impurity (MDI). by Simon Bin Akter (17951860)

Overview of the WeARTolerance program. by Ana Beato (20489933)

“…<div><p>The stigma surrounding mental health remains a significant barrier to help-seeking and well-being in youth populations. …”

Gating strategy of imaging flow cytometry dataset to obtain the mean fluorescent intensity (MFI) of Tc24 and SSP4. by Leroy Versteeg (4248760)

Study selection criteria. by Filip Stanicic (17808254)

Subjects:

PICOS criteria for the SLR. by Filip Stanicic (17808254)

Subjects:

PRISMA flow chart. by Filip Stanicic (17808254)

Subjects:

Supplementary Material for: Enhanced Recovery after Surgery for Radical Cystectomy Decreases Postoperative Complications at Different Times by Lannes F. (11465377)

“…Mean length of stay did not differ significantly between ERAS and non-ERAS groups (12.7 ± 6.2 and 13.1 ± 5.7 days, respectively; <i>p</i> = 0.743). …”

Replication data set: Variability and correlations decrease during task states in human fMRI data. by Takuya Ito (57473)

“…<b>h)</b> We found that the average correlation for each brain region, decreased for each brain region during task state. …”

Forest plot and subgroup analysis for raw mean difference of studies on the effects of relaxation interventions on birth weight (g). by Mubarek Abera (7288370)

Subjects:

Table 4_Significance of SUMOylation in breast cancer progression: a comprehensive investigation using single-cell analysis and bioinformatics.xlsx by Wenxing He (10829169)

Table 2_Significance of SUMOylation in breast cancer progression: a comprehensive investigation using single-cell analysis and bioinformatics.xlsx by Wenxing He (10829169)

Table 11_Significance of SUMOylation in breast cancer progression: a comprehensive investigation using single-cell analysis and bioinformatics.xlsx by Wenxing He (10829169)

Table 9_Significance of SUMOylation in breast cancer progression: a comprehensive investigation using single-cell analysis and bioinformatics.xlsx by Wenxing He (10829169)

Table 6_Significance of SUMOylation in breast cancer progression: a comprehensive investigation using single-cell analysis and bioinformatics.xlsx by Wenxing He (10829169)

Table 10_Significance of SUMOylation in breast cancer progression: a comprehensive investigation using single-cell analysis and bioinformatics.xlsx by Wenxing He (10829169)

Image 2_Significance of SUMOylation in breast cancer progression: a comprehensive investigation using single-cell analysis and bioinformatics.pdf by Wenxing He (10829169)

Table 1_Significance of SUMOylation in breast cancer progression: a comprehensive investigation using single-cell analysis and bioinformatics.xlsx by Wenxing He (10829169)

Table 8_Significance of SUMOylation in breast cancer progression: a comprehensive investigation using single-cell analysis and bioinformatics.xlsx by Wenxing He (10829169)

Table 5_Significance of SUMOylation in breast cancer progression: a comprehensive investigation using single-cell analysis and bioinformatics.xlsx by Wenxing He (10829169)

Image 3_Significance of SUMOylation in breast cancer progression: a comprehensive investigation using single-cell analysis and bioinformatics.pdf by Wenxing He (10829169)