This figure highlights the limitations of manual scoring. by Saeed Mohammadzadeh (13492285)

Application of explainable clustering on cell features for unsupervised organization scoring. by Saeed Mohammadzadeh (13492285)

GSVA, GO, and KEGG Enrichment Analysis After Sample Clustering and Subtyping. by Ziyang Liu (242055)

Stratification of Differentially Expressed genes (DEGs) in cases versus controls. by Peter Nambala (7245215)

Variations in the mitochondrial network of melanoma-associated and normal skin fibroblasts. by Sophie Charrasse (14885066)

Table 1_Identification of prognostic hub genes and functional role of BAIAP2L2 in prostate cancer progression: a transcriptomic and experimental study.xlsx by Xiangyang Zhan (10968681)

“…Background<p>Prostate cancer (PCa) is a prevalent malignancy in men, and understanding its molecular mechanisms is crucial for identifying therapeutic targets.…”

Distinct changes in mitochondrial morphology of NHDF cells after exposure to three different pesticides. by Sophie Charrasse (14885066)

Increasing doses of UVB irradiation disturb mitochondrial morphology in NHDF cells. by Sophie Charrasse (14885066)

Identification of a natural compound with mitochondrio-protective activity against hydrogen peroxide-induced mitochondrial damage. by Sophie Charrasse (14885066)

DataSheet1_Sequence-structure functional implications and molecular simulation of high deleterious nonsynonymous substitutions in IDH1 revealed the mechanism of drug resistance in... by Muhammad Suleman (3829027)

“…Despite the important function of IDH1 in tumorigenesis and its very polymorphic nature, it is not yet clear how different nsSNPs affect the structure and function of IDH1. …”

Effect of recording depth and firing rate in ephys. by Ziqiang Wei (5953964)

Denoising celltype-annotated data from Hrvatin et al. [33] using metrics from Arisdakessian et al. [27]. by Andreas Tjärnberg (3438332)

A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... by Hector Torres (11708207)

Table 1_Neural network-based performance prediction of marine UHPC with coarse aggregates.pdf by Yunhao Luan (20800046)

Average trace of each ROI cluster at maximum silhouette score. by Virgil Christian Garcia Castillo (19688355)

Grid search process. by Lin Qi (128224)

“…Subsequently, we combine these thematic features with product and merchant characteristics. Using the PCA-K-medoids-XGBoost algorithm, we developed a predictive model for perceived risk. …”

Research framework. by Lin Qi (128224)

“…Subsequently, we combine these thematic features with product and merchant characteristics. Using the PCA-K-medoids-XGBoost algorithm, we developed a predictive model for perceived risk. …”

Parameter configuration for TextCNN model. by Lin Qi (128224)

“…Subsequently, we combine these thematic features with product and merchant characteristics. Using the PCA-K-medoids-XGBoost algorithm, we developed a predictive model for perceived risk. …”

Model performance on the validation set. by Lin Qi (128224)

“…Subsequently, we combine these thematic features with product and merchant characteristics. Using the PCA-K-medoids-XGBoost algorithm, we developed a predictive model for perceived risk. …”

Performance comparison of different models. by Lin Qi (128224)

“…Subsequently, we combine these thematic features with product and merchant characteristics. Using the PCA-K-medoids-XGBoost algorithm, we developed a predictive model for perceived risk. …”