Beyond Borders: The Impact of Transnational News Flows on Public Opinion and Geopolitical Narratives by Asmita Roy (21585298)

“…Ultimately, by offering practical insights into the unseen processes influencing global information flows, our research promotes open knowledge.…”

Ensemble learning approach for accurate virtual borehole prediction in 3D geological modeling by Bingning Guo (19800407)

“…<p>The use of virtual drilling technology can effectively accelerate the establishment process of 3D geological models and improve grid structure and visual performance. …”

Supplementary file 1_How perceived discrimination and trust dynamics influence social integration in acculturation and reacculturation: the case of Chinese international student re... by Tam-Tri Le (21374624)

“…</p>Analysis<p>Employing Bayesian analyses aided by Markov Chain Monte Carlo (MCMC) algorithms on survey data of 1,014 Chinese international student returnees, the study examines the multi-layered influences of perceived discrimination and trust (both generalized and personalized) on social integration.…”

Risk prediction for acute kidney disease and adverse outcomes in patients with chronic obstructive pulmonary disease: an interpretable machine learning approach by Siqi Jiang (4092664)

“…Eight machine learning algorithms were used, and model performance was evaluated using various metrics. …”

Image 1_Machine learning-driven exploration of therapeutic targets for atrial fibrillation-joint analysis of single-cell and bulk transcriptomes and experimental validation.tif by Yicheng Wang (810922)

“…Background<p>To explore new therapeutic targets and strategies for atrial fibrillation (AF) by analyzing gene expression profiles of AF patients using machine learning techniques combined with transcriptomic data, and to uncover the potential molecular mechanisms underlying AF.…”

Image 2_Machine learning-driven exploration of therapeutic targets for atrial fibrillation-joint analysis of single-cell and bulk transcriptomes and experimental validation.tif by Yicheng Wang (810922)

“…Background<p>To explore new therapeutic targets and strategies for atrial fibrillation (AF) by analyzing gene expression profiles of AF patients using machine learning techniques combined with transcriptomic data, and to uncover the potential molecular mechanisms underlying AF.…”

Table 4_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.xlsx by Manyi Zheng (22221913)

“…</p>Methods<p>Our study utilized the Gene Expression Omnibus (GEO) data for SCI-related MDEG identification. Key hub genes were screened using multiple machine learning(ML) algorithms. …”

Table 1_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.xlsx by Manyi Zheng (22221913)

“…</p>Methods<p>Our study utilized the Gene Expression Omnibus (GEO) data for SCI-related MDEG identification. Key hub genes were screened using multiple machine learning(ML) algorithms. …”

Supplementary file 1_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.xlsx by Manyi Zheng (22221913)

“…</p>Methods<p>Our study utilized the Gene Expression Omnibus (GEO) data for SCI-related MDEG identification. Key hub genes were screened using multiple machine learning(ML) algorithms. …”

Table 2_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.xlsx by Manyi Zheng (22221913)

“…</p>Methods<p>Our study utilized the Gene Expression Omnibus (GEO) data for SCI-related MDEG identification. Key hub genes were screened using multiple machine learning(ML) algorithms. …”

Supplementary file 2_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.xlsx by Manyi Zheng (22221913)

“…</p>Methods<p>Our study utilized the Gene Expression Omnibus (GEO) data for SCI-related MDEG identification. Key hub genes were screened using multiple machine learning(ML) algorithms. …”

Table 3_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.xlsx by Manyi Zheng (22221913)

“…</p>Methods<p>Our study utilized the Gene Expression Omnibus (GEO) data for SCI-related MDEG identification. Key hub genes were screened using multiple machine learning(ML) algorithms. …”

Patentability of 3D bioprinting technologies by Phoebe Li (4463947)

“…</p><p dir="ltr">(2) The hurdle of patenting software or algorithms for printing will be assessed via the technical contribution and the problem/solution approach.…”

<b>Supplementary Materials for:</b> <b>Pan-Cancer Analysis Reveals LncRNA CDKN2B-AS1 as an Immune-Related Biomarker Validated in LIHC and ACC</b> by Dandan Lin (18192946)

“…This study comprehensively investigates the role of the long non-coding RNA CDKN2B-AS1 in cancer prognosis and tumor microenvironment across multiple cancer types using bioinformatic analyses.…”

Presentation1_Extrachromosomal circular DNAs in prostate adenocarcinoma: global characterizations and a novel prediction model.pdf by Qingliu He (12528332)

“…</p>Methods<p>Circular_seq was used in conjunction with the TCGA-PRAD transcriptome dataset to sequence, annotate, and filter for eccDNA-amplified differentially expressed coding genes (eDEGs) in PRAD and para-cancerous normal prostate tissues. …”

Supplementary Material for: Assessing the accuracy of the international evidence-based Kyoto guidelines for detecting malignancy in intraductal papillary mucinous neoplasms of the... by figshare admin karger (2628495)

“…IKG incorporate high-risk stigmata and worrisome features into the decision-making process. This study evaluates the accuracy of these guidelines in identifying patients requiring surgery. …”

Table 8_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx by Peng Zhu (277243)

“…Utilizing scRNA-seq and bulk RNA-seq data, we performed a comprehensive differential expression analysis to highlight MitRGs. …”

Image2_Multiple cell-death patterns predict the prognosis and drug sensitivity of melanoma patients.TIF by Zewei Chen (2936157)

“…Background<p>Melanoma, a malignant tumor of the skin, presents challenges in its treatment process involving modalities such as surgery, chemotherapy, and targeted therapy. …”

Table 9_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx by Peng Zhu (277243)

“…Utilizing scRNA-seq and bulk RNA-seq data, we performed a comprehensive differential expression analysis to highlight MitRGs. …”

Table 1_Metabolic-stem cell crosstalk in PD: NK1 cells as key mediators from a bioinformatics perspective.xlsx by Junxin Zhao (16721864)

“…Single-cell RNA sequencing (scRNA-seq) data from PD cohorts were interrogated to localize cell-type-specific expression patterns of signature genes and delineate subtype-specific mechanisms. …”