Development of a machine learning method for predicting neutrophil-specific functional genes. حسب Guihua Wang (286390)

"…<p>(A) NeuRGI model training workflow involved: 1) extracting gene features from various databases. 2) using genes of neutrophil-related genes as positives and PU-learning as negatives. 3) balancing the training set with under-sampling and training the NeuRGI random forest model with 10-fold cross-validation, then employing a Gaussian Mixture Model (GMM) with NeuRGI scores to identify potential positives. 4) using OntoVAE for <i>in silico</i> knockout of GMM-classified genes to find key regulatory factors for guiding follow-up experiments. (B) AUC and PR curves and the mean AUC value for the NeuRGI model trained from 10-fold cross-validation. …"

Assessment of the relationship between adiposity, Sirtuin 1, and miR-30a-5p in a mixed-ancestry population in Bellville South, Cape Town. حسب Babalwa Gaxamba (20810513)

"…Key variables include sample IDs, absorbance values, cycle threshold (CT) values, ΔCT, 2^-ΔCT, ΔΔCT, and 2^-ΔΔCT calculations. …"

Image 2_Phage therapy for extensively drug resistant Acinetobacter baumannii infection: case report and in vivo evaluation of the distribution of phage and the impact on gut microb... حسب Jiayao Qu (11309880)

"…In fecal samples, a significant reduction in the Ct value of phages was observed following both phases of bacteriophage treatment, with values decreasing from 35.5 to 22.5 and from 32.6 to 22.7, respectively. …"

Image 1_Phage therapy for extensively drug resistant Acinetobacter baumannii infection: case report and in vivo evaluation of the distribution of phage and the impact on gut microb... حسب Jiayao Qu (11309880)

"…In fecal samples, a significant reduction in the Ct value of phages was observed following both phases of bacteriophage treatment, with values decreasing from 35.5 to 22.5 and from 32.6 to 22.7, respectively. …"

Evaluation of PCR amplification bias and PCR amplification efficiency. حسب Trang Thi Quynh Tran (20485595)

"…(<b>C</b>) The ΔCt value, calculated by subtracting the CT value of the MSP primer set from that of the MIP primer set for each sample, proportionally increases as the DNA input decreases, indicating the Pfaffl formula to be suitable for relative quantification. …"

Image 1_Urinary metabolomics analysis based on LC-MS for the diagnosis and monitoring of acute coronary syndrome.pdf حسب Jiaqi Liu (309587)

"…In addition, a panel composed of guanidineacetic acid, S-adenosylmethionine, oxindole was able to distinguish ACS patients from healthy controls. The AUC values were 0.8339 (UA VS HCs) and 0.8617 (AMI VS HCs). …"

Data Sheet 1_Urinary metabolomics analysis based on LC-MS for the diagnosis and monitoring of acute coronary syndrome.docx حسب Jiaqi Liu (309587)

"…In addition, a panel composed of guanidineacetic acid, S-adenosylmethionine, oxindole was able to distinguish ACS patients from healthy controls. The AUC values were 0.8339 (UA VS HCs) and 0.8617 (AMI VS HCs). …"

Table 3_Urinary metabolomics analysis based on LC-MS for the diagnosis and monitoring of acute coronary syndrome.xlsx حسب Jiaqi Liu (309587)

"…In addition, a panel composed of guanidineacetic acid, S-adenosylmethionine, oxindole was able to distinguish ACS patients from healthy controls. The AUC values were 0.8339 (UA VS HCs) and 0.8617 (AMI VS HCs). …"

Table 2_Urinary metabolomics analysis based on LC-MS for the diagnosis and monitoring of acute coronary syndrome.xlsx حسب Jiaqi Liu (309587)

"…In addition, a panel composed of guanidineacetic acid, S-adenosylmethionine, oxindole was able to distinguish ACS patients from healthy controls. The AUC values were 0.8339 (UA VS HCs) and 0.8617 (AMI VS HCs). …"

Table 1_Urinary metabolomics analysis based on LC-MS for the diagnosis and monitoring of acute coronary syndrome.xlsx حسب Jiaqi Liu (309587)

"…In addition, a panel composed of guanidineacetic acid, S-adenosylmethionine, oxindole was able to distinguish ACS patients from healthy controls. The AUC values were 0.8339 (UA VS HCs) and 0.8617 (AMI VS HCs). …"

Ambulatory modeling of vocal hyperfunction (Parra et al., 2025) حسب Jesús A. Parra (20677929)

"…</p><p dir="ltr"><b>Results: </b>Results showed significant differences between the PVH and control groups in key parameters, including statistical moments of H1–H2, SPL, PS, and muscle activity of lateral cricoarytenoid (LCA) and cricothyroid (CT) muscles. Higher DPI values, reflecting more severe PVH, were associated with increased mean LCA activation and decreased LCA variability, along with decreased mean CT activation and increased median PS. …"

Data Sheet 1_Altered mitochondrial mass and low mitochondrial membrane potential of immune cells in patients with HBV infection and correlation with liver inflammation.pdf حسب Liling Ma (16752684)

"…The MMP^low percentage of CD8⁺T cells in the LC group exhibited a notable decrease compared to the HC group and CHB groups. Moreover, MMP^low of CD8⁺T cells demonstrated potential in distinguishing CHB and LC (AUC=0.7341, P=0.0032). …"

Image 3_CS Ratio is an immune-related prognostic biomarker for cervical cancer.tiff حسب Peiqin Shi (22130170)

"…ROC analysis demonstrated that the CS Ratio had higher AUC values for predicting 1-year (AUC=0.69), 3-year (AUC=0.66), and 5-year OS (AUC=0.68) than CXCL9 or SPP1 alone. …"

Image 2_CS Ratio is an immune-related prognostic biomarker for cervical cancer.tiff حسب Peiqin Shi (22130170)

"…ROC analysis demonstrated that the CS Ratio had higher AUC values for predicting 1-year (AUC=0.69), 3-year (AUC=0.66), and 5-year OS (AUC=0.68) than CXCL9 or SPP1 alone. …"

Image 1_CS Ratio is an immune-related prognostic biomarker for cervical cancer.tiff حسب Peiqin Shi (22130170)

"…ROC analysis demonstrated that the CS Ratio had higher AUC values for predicting 1-year (AUC=0.69), 3-year (AUC=0.66), and 5-year OS (AUC=0.68) than CXCL9 or SPP1 alone. …"

Comparison of the performance of the models used. حسب Tiago de Oliveira Barreto (20485207)

"…As for Specificity (82.94%) and ROC-AUC (82.13%), the Multilayer Perceptron with SGD optimizer obtained the highest scores. …"

Data profile from the RegulaRN Leitos Gerais. حسب Tiago de Oliveira Barreto (20485207)

"…As for Specificity (82.94%) and ROC-AUC (82.13%), the Multilayer Perceptron with SGD optimizer obtained the highest scores. …"

Description of database. حسب Tiago de Oliveira Barreto (20485207)

"…As for Specificity (82.94%) and ROC-AUC (82.13%), the Multilayer Perceptron with SGD optimizer obtained the highest scores. …"

Metrics obtained by the computer models. حسب Tiago de Oliveira Barreto (20485207)

"…As for Specificity (82.94%) and ROC-AUC (82.13%), the Multilayer Perceptron with SGD optimizer obtained the highest scores. …"

Feature importance of MLP models. حسب Tiago de Oliveira Barreto (20485207)

"…As for Specificity (82.94%) and ROC-AUC (82.13%), the Multilayer Perceptron with SGD optimizer obtained the highest scores. …"