Data Sheet 1_Identification and validation of ubiquitination-related genes for predicting cervical cancer outcome.xlsx حسب Ge Jin (347352)

"…The risk score model constructed based on these biomarkers could effectively predict the survival rate of cervical cancer patients (AUC >0.6 for 1/3/5 years). …"

Data Sheet 1_Machine learning integration with multi-omics data constructs a robust prognostic model and identifies PTGES3 as a therapeutic target for precision oncology in lung ad... حسب Lian-jie Ruan (22327876)

"…This study aims to develop a risk model to guide treatment for these patients.</p>Materials and methods<p>RNA-seq data from TCGA and GEO were analyzed using Cox regression and 10 machine learning algorithms to identify prognostic genes and stratify patients. …"

Table 2_Integrated analysis of stem cell-related genes shared between type 2 diabetes mellitus and sepsis.xlsx حسب Yubo Wang (556762)

"…The stem-cell-related biomarkers were discovered through combining functional similarity analysis, machine learning algorithms, and receiver operating characteristic (ROC) curves. …"

Image 1_Analysis of the molecular subtypes and prognostic models of anoikis-related genes in colorectal cancer.tif حسب Lei Shen (76320)

"…Additionally, various computational algorithms were employed to evaluate the immunotherapeutic responses of different risk groups. …"

Image 4_A machine learning-derived immune-related prognostic model identifies PLXNA3 as a functional risk gene in colorectal cancer.tif حسب Hanzhang Lyu (22163404)

"…Introduction<p>Colorectal Cancer (CRC) remains a leading cause of cancer-related mortality, characterized by substantial interpatient heterogeneity and limited effective prognostic biomarkers.</p>Methods<p>To address this gap, we constructed a robust prognostic model by integrating over 100 machine learning algorithms—such as LASSO, CoxBoost, and StepCox—based on transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) cohorts.…"

Video 6_Paired reentries maintain ventricular tachycardia: a topological analysis of arrhythmic mechanisms using the index theorem.mp4 حسب Robin Van Den Abeele (16664361)

"…This ablation strategy consistently terminated all simulations, supporting the applicability of our topology-based approach to VT.</p>Conclusion<p>The index theorem remains valid for scar-related VT. …"

Data Sheet 3_Identification and validation of ubiquitination-related genes for predicting cervical cancer outcome.csv حسب Ge Jin (347352)

"…The risk score model constructed based on these biomarkers could effectively predict the survival rate of cervical cancer patients (AUC >0.6 for 1/3/5 years). …"

Table 6_Integrated analysis of stem cell-related genes shared between type 2 diabetes mellitus and sepsis.docx حسب Yubo Wang (556762)

"…The stem-cell-related biomarkers were discovered through combining functional similarity analysis, machine learning algorithms, and receiver operating characteristic (ROC) curves. …"

Video 3_Paired reentries maintain ventricular tachycardia: a topological analysis of arrhythmic mechanisms using the index theorem.mp4 حسب Robin Van Den Abeele (16664361)

"…This ablation strategy consistently terminated all simulations, supporting the applicability of our topology-based approach to VT.</p>Conclusion<p>The index theorem remains valid for scar-related VT. …"

Agentic Architecture: Synthesising Complexity for Regenerative Futures حسب Alisa Andrasek (18028282)

"…It introduces a novel workflow linking n-dimensional voxelised data, multimodal generative AI, and generative algorithmic systems, including simulations of electromagnetic fields, site-adaptive Multi-Agent Systems, and field-based logics. …"

Data Sheet 2_Integrative analysis of single-cell and microarray data reveals SPI1-centered macrophage regulatory signatures in ulcerative colitis.zip حسب Yeqing Yu (7147064)

"…Using WGCNA on microarray data, we identified key downstream regulatory target genes, specifically IRAK3, IL1RN, CD55 and PEA15, based on microarray data. Their potential as biomarkers was subsequently validated through several machine learning algorithms. …"

Data Sheet 4_The role and machine learning analysis of mitochondrial autophagy-related gene expression in lung adenocarcinoma.pdf حسب Binyu Wang (7375019)

"…DEGs were identified using GEO2R, filtered based on criteria of P < 0.05 and log2 fold change ≥ 1. …"

Table 1_Integrative analysis of single-cell and microarray data reveals SPI1-centered macrophage regulatory signatures in ulcerative colitis.csv حسب Yeqing Yu (7147064)

"…Using WGCNA on microarray data, we identified key downstream regulatory target genes, specifically IRAK3, IL1RN, CD55 and PEA15, based on microarray data. Their potential as biomarkers was subsequently validated through several machine learning algorithms. …"

Data Sheet 5_The role and machine learning analysis of mitochondrial autophagy-related gene expression in lung adenocarcinoma.zip حسب Binyu Wang (7375019)

"…DEGs were identified using GEO2R, filtered based on criteria of P < 0.05 and log2 fold change ≥ 1. …"

Data Sheet 1_Integrative analysis of single-cell and microarray data reveals SPI1-centered macrophage regulatory signatures in ulcerative colitis.zip حسب Yeqing Yu (7147064)

"…Using WGCNA on microarray data, we identified key downstream regulatory target genes, specifically IRAK3, IL1RN, CD55 and PEA15, based on microarray data. Their potential as biomarkers was subsequently validated through several machine learning algorithms. …"

Supplementary file 1_Integrative analysis of single-cell and microarray data reveals SPI1-centered macrophage regulatory signatures in ulcerative colitis.docx حسب Yeqing Yu (7147064)

"…Using WGCNA on microarray data, we identified key downstream regulatory target genes, specifically IRAK3, IL1RN, CD55 and PEA15, based on microarray data. Their potential as biomarkers was subsequently validated through several machine learning algorithms. …"

Table_1_Machine learning to predict futile recanalization of large vessel occlusion before and after endovascular thrombectomy.XLSX حسب Xinping Lin (1591438)

"…This study aimed to use machine learning (ML) algorithms to develop a pre-EVT model and a post-EVT model to predict the risk of futile recanalization and to provide meaningful insights to assess the prognostic factors associated with futile recanalization.…"

Data Sheet 1_The role and machine learning analysis of mitochondrial autophagy-related gene expression in lung adenocarcinoma.zip حسب Binyu Wang (7375019)

"…DEGs were identified using GEO2R, filtered based on criteria of P < 0.05 and log2 fold change ≥ 1. …"

Data Sheet 2_The role and machine learning analysis of mitochondrial autophagy-related gene expression in lung adenocarcinoma.pdf حسب Binyu Wang (7375019)

"…DEGs were identified using GEO2R, filtered based on criteria of P < 0.05 and log2 fold change ≥ 1. …"

Table 1_Modeling and validation in Parkinson’s disease patients with frailty.docx حسب Guoyang Li (6330623)

"…This study aimed to develop a machine learning–based predictive model for frailty in PD.</p>Methods<p>We conducted a cross-sectional study of early- and middle-stage PD patients recruited from June 2024 to June 2025 at Shenzhen People’s Hospital. …"