Table 3_Machine learning-based mortality risk prediction models in patients with sepsis-associated acute kidney injury: a systematic review.xlsx by Xu Li (23864)

“…The Area Under the Curve (AUC) for the training sets generally ranged from 0.75 to 0.99, which decreased to 0.70 to 0.87 during internal validation. …”

Table 1_Machine learning identifies neutrophil extracellular traps-related biomarkers for acute ischemic stroke diagnosis.docx by Haipeng Zhang (3413288)

“…A diagnostic model based on these genes yielded area under the curve (AUC) values of 0.880 in the training dataset and 0.936 in the validation dataset. …”

Table 1_Machine learning-based mortality risk prediction models in patients with sepsis-associated acute kidney injury: a systematic review.xlsx by Xu Li (23864)

“…The Area Under the Curve (AUC) for the training sets generally ranged from 0.75 to 0.99, which decreased to 0.70 to 0.87 during internal validation. …”

Image 1_Prognostic model construction and immune microenvironment analysis of pyroptosis-related genes in hepatocellular carcinoma based on single-cell RNA sequencing.tiff by Haoming Shen (3816988)

“…The prognostic model developed in this study stratified patients into high-risk and low-risk categories based on eight significant genes, achieving area under the curve (AUC) values of 0.73, 0.65, and 0.69 for overall survival at one-year, two-year, and three-year intervals, respectively. …”

Data Sheet 1_Prognostic model construction and immune microenvironment analysis of pyroptosis-related genes in hepatocellular carcinoma based on single-cell RNA sequencing.zip by Haoming Shen (3816988)

“…The prognostic model developed in this study stratified patients into high-risk and low-risk categories based on eight significant genes, achieving area under the curve (AUC) values of 0.73, 0.65, and 0.69 for overall survival at one-year, two-year, and three-year intervals, respectively. …”

Data Sheet 2_Metabolomics reveals key biomarkers for ischemic stroke: a systematic review of emerging evidence.pdf by Lu Ding (475637)

“…Metabolite analysis revealed associations between decreased proline, isoleucine, valine, and alanine levels with IS. …”

Data Sheet 1_Metabolomics reveals key biomarkers for ischemic stroke: a systematic review of emerging evidence.pdf by Lu Ding (475637)

“…Metabolite analysis revealed associations between decreased proline, isoleucine, valine, and alanine levels with IS. …”

Data Sheet 3_Metabolomics reveals key biomarkers for ischemic stroke: a systematic review of emerging evidence.pdf by Lu Ding (475637)

“…Metabolite analysis revealed associations between decreased proline, isoleucine, valine, and alanine levels with IS. …”

Data Sheet 4_Metabolomics reveals key biomarkers for ischemic stroke: a systematic review of emerging evidence.pdf by Lu Ding (475637)

“…Metabolite analysis revealed associations between decreased proline, isoleucine, valine, and alanine levels with IS. …”

Supplementary Material for: Early deficits in speech perception in carriers of the p.Pro51Ser variant in the COCH gene: a prospective longitudinal evaluation of speech perception i... by Moyaert J. (20612453)

“…This stands in contrast to the DFNA9 population, where male carriers reach values of -5.18 dB SNR and female carriers reach -3.12 dB SNR as early as in the fourth decade. …”

Supplementary Material for: A case of early occurrence of post-transplant lymphoproliferative disorders in the allograft after kidney transplantation by figshare admin karger (2628495)

“…The diagnosis was EBV-associated PTLD, histologically diffuse large B-cell lymphoma. Hemodialysis was resumed, and graftectomy was performed on day 58. …”

Metabolome at time-points during and after pregnancy in NW and OB women. by Ulrika Andersson-Hall (8965229)

“…<p>The first two components in a PCA showing 362 measured NW and OB samples, after removal of one outlier, using 25 metabolite NMR concentration measurements. <b>A)</b> The first two scores (R²X(1)=18.4%, R²X(2)=12.3%, Q² = 11.6%) shows a strong correlation with time rather than, e.g., individual or weight emphasizing the very large change during pregnancy, B) corresponding loading plot illustrates the major trends of the metabolites. …”

Data Normalization. by Guolian Wu (21464168)

“…Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. Correlation analysis indicated that these candidate hub genes are associated with immune dysregulation and inflammation in KD. …”

Organize Data. by Guolian Wu (21464168)

“…Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. Correlation analysis indicated that these candidate hub genes are associated with immune dysregulation and inflammation in KD. …”

PCA. by Guolian Wu (21464168)

“…Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. Correlation analysis indicated that these candidate hub genes are associated with immune dysregulation and inflammation in KD. …”

Correlation Heatmap. by Guolian Wu (21464168)

“…Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. Correlation analysis indicated that these candidate hub genes are associated with immune dysregulation and inflammation in KD. …”

Immune Cell Correlation Analysis. by Guolian Wu (21464168)

“…Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. Correlation analysis indicated that these candidate hub genes are associated with immune dysregulation and inflammation in KD. …”

GO Enrichment Analysis. by Guolian Wu (21464168)

“…Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. Correlation analysis indicated that these candidate hub genes are associated with immune dysregulation and inflammation in KD. …”

Differential Analysis. by Guolian Wu (21464168)

“…Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. Correlation analysis indicated that these candidate hub genes are associated with immune dysregulation and inflammation in KD. …”

GO Diagram. by Guolian Wu (21464168)

“…Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. Correlation analysis indicated that these candidate hub genes are associated with immune dysregulation and inflammation in KD. …”