This is the data set that we used to reach the conclusions drawn in the manuscript with related metadata and methods. by Farayi Kaseke (19560197)

iKIR score decreases protection associated with protective class II genotypes in T1D. by Laura Mora-Bitria (20477525)

The linearly decreasing convergence factor a. by Junhao Wei (6816803)

Significant inter-relationships between baseline variables and MSCC or MCS. by Harshit Arora (22008280)

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

Subjects:

Image 1_Chromosome 1 variants associated with decreased HIV set-point viral load correlate with PRKAB2 expression changes.png by Riley H. Tough (14432838)

Classification model parameter settings. by Chao Tang (10925)

“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”

Minimal data set. by Peijian Jin (22265437)

“…The acoustic emission waveforms exhibited a dual-peak characteristic throughout the entire charging and discharging cycles. We observed a pattern in which the time intervals between the waveforms decreased rapidly at first and then stabilized. …”

PCA-CGAN model parameter settings. by Chao Tang (10925)

“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”

Predictive Significance of Glycosyltransferase-Related lncRNAs in Endometrial Cancer: A Comprehensive Analysis and Experimental Validation by Xiaoyu Shen (4715430)

“…Furthermore, independent prognostic assessments, receiver operating characteristic (ROC) curves and nomograms, demonstrated that risk scores derived from these GTRLs outperformed other clinical variables within the TCGA-UCEC clinical data set in predicting patient prognosis. And the low-risk cohort exhibited increased immune infiltration and decreased tumor purity. …”

Intra- and inter-day precision and accuracy. by Ewa Paszkowska (21246702)

“…<div><p>Purpose</p><p>Statins are the most commonly used drugs worldwide. Besides a significant decrease in cardiovascular diseases (CVDs) risk, the use of statins is also connected with a broad beneficial pleiotropic effect. …”

Minimal data set. by Xiaoxia Liu (294088)

“…Using the multiple scale method, we derive approximate analytical solutions for both the crystal interface growth rate and the solute concentration. …”

Minimal data set. by Wei Huang (36889)

“…Each10 units increase in BRI, ASM/ BMI decreased by 29% (β = −0.29,95% CI: −0.31, −0.28, <i><i>p</i></i> value < 0.0001). …”

Significant gene set results from EGSEA. by Katherine M. Peterson (19746455)

“…<p>The significant gene sets returned by EGSEA analysis of serum-deprived ARPE-19 cell differentially expressed genes. …”

Significant condition. by Junxia Zhou (14381598)

Subjects:

Networks favouring more connected individuals results in a significant decrease to the likelihood of network recovery. by Adam Lee Miles (14123916)

Data Set. by Yang Li (7082)

UHPLC-MS CKO vs K5Cre results. by Kevin J. Mills (9270966)

Subjects:

Uncropped raw western blot images. by Kevin J. Mills (9270966)

Subjects:

LC-IMS-CID-MS CKO vs K5Cre results. by Kevin J. Mills (9270966)

Subjects: