Diagnostic and prognostic models. by Wanshuo Wei (21433316)

Main Figure 2: Characteristics of the gene groups selected by the HN-score by Sora Yonezawa (14618045)

“…Genes shown at the top left and bottom right indicate genes with the highest (255) or lowest (-204) HN-scores, respectively. </p><p dir="ltr">(B–E) Semantic similarity heatmaps of enriched GO terms clustered by the <i>binary cut</i> algorithm (“binary_cut”) implemented in SimplifyEnrichment. …”

Strategic Integration of Machine Learning in the Design of Excellent Hybrid Perovskite Solar Cells by Zhaosheng Zhang (4603021)

“…The ideal combination of descriptors and algorithms identified was MBTR + CustomCNN, with an <i>R</i>² of 0.94. …”

Identification of DEGs and GSEA in two groups. by Taole Li (20490462)

Visualization of the image segmentation and labeling pipeline for the first frame of an example movie. by Miriam Schnitzerlein (21446136)

Data Sheet 2_Comprehensive analysis of regulatory B Cell related genes in prognosis and therapeutic response in lung adenocarcinoma.xlsx by Liangyu Zhang (8947964)

“…Background<p>Regulatory B cells (Bregs) are a distinct subset of B cells that play a crucial role in regulating immune responses and maintaining immune tolerance in cancerous environments. …”

Data Sheet 1_Comprehensive analysis of regulatory B Cell related genes in prognosis and therapeutic response in lung adenocarcinoma.docx by Liangyu Zhang (8947964)

“…Background<p>Regulatory B cells (Bregs) are a distinct subset of B cells that play a crucial role in regulating immune responses and maintaining immune tolerance in cancerous environments. …”

Left: Quality profile of LAFM images for 1) periplasmic (top) and 2) cytoplasmic (bottom) SecYEG. by Creighton M. Lisowski (22756444)

Fig 7 - by Debao Yuan (4691992)

From timetable spaces to networks. by Fabio Lamanna (4961875)

A global view of gene ontology (GO) terms enriched in the set of gene pairs with gain-of-correlation (GOC) in resistant (RES) but not in susceptible (SUS) phenotypes. by Fang Liu (13271)

Composite statistics of modules inferred from resistant (RES) lambs that were preserved in susceptible (SUS) lambs. by Fang Liu (13271)

Schematic of the mean-field Ising simulation evolving in time. by Rostam M. Razban (22232522)

Table 1_ENO1-related gene signature predicts prognosis and therapeutic response in diffuse large B-cell lymphoma.docx by Wenli Yan (9235217)

“…Purpose<p>Alpha-enolase (ENO1), the enzyme catalyzing 2-phosphoglycerate conversion to phosphoenolpyruvate, is highly expressed in diffuse large B-cell lymphoma (DLBCL) and correlates with adverse clinical outcomes. …”

Performance comparison of NGNDG-AF, ReLU and ELU. by Ali Raza (3558965)

“…The efficacy of the optimized <i>CNN</i> method with <i>NGNDG-AF</i> was examined by a comparative study wirh popular <i>CNN</i> with various activation functions shows that better performance of <i>NGNDG-AF</i>, achieving the classification accuracy rates that are as high as <b>99<i>%</i></b> in training and <b>98<i>%</i></b> in the validation. …”

AUC of ResNet152V2 CNN with Adam for <i>β</i> = 1. by Ali Raza (3558965)

“…The efficacy of the optimized <i>CNN</i> method with <i>NGNDG-AF</i> was examined by a comparative study wirh popular <i>CNN</i> with various activation functions shows that better performance of <i>NGNDG-AF</i>, achieving the classification accuracy rates that are as high as <b>99<i>%</i></b> in training and <b>98<i>%</i></b> in the validation. …”

AUC of optimized CNN with Adam for <i>β</i> = 1. by Ali Raza (3558965)

“…The efficacy of the optimized <i>CNN</i> method with <i>NGNDG-AF</i> was examined by a comparative study wirh popular <i>CNN</i> with various activation functions shows that better performance of <i>NGNDG-AF</i>, achieving the classification accuracy rates that are as high as <b>99<i>%</i></b> in training and <b>98<i>%</i></b> in the validation. …”

Pt(100) surface slab + H, O, OH adsorbates structures for https://doi.org/10.1002/admi.202500680 by Renata Sechi (14553959)

“…</p><p dir="ltr">The structures are generated with a genetic algorithm.</p><p dir="ltr">Settings: dzp-LCAO basis set, PBE functional, 2x2x1 k-points grid. …”

The results of curve fitting analysis. by Hai-bo Ai (20790405)

Consensus clustering base on expression of cuproptosis genes. by Hongmin Luo (2142307)