Image1_Identification of novel biomarkers, shared molecular signatures and immune cell infiltration in heart and kidney failure by transcriptomics.tif by Qingqing Long (845156)

“…Introduction<p>Heart failure (HF) and kidney failure (KF) are closely related conditions that often coexist, posing a complex clinical challenge. …”

Supplementary file 1_CYLD as a key regulator of myocardial infarction-to-heart failure transition revealed by multi-omics integration.docx by Jingya Xu (5572547)

“…Our multistep analytical pipeline included weighted gene coexpression network analysis (WGCNA) to map interacting genes, machine learning algorithms for robust classification, functional annotation via Kyoto Encyclopedia of Genes and Genomes (KEGG) to explore biological pathways, CIBERSORT correlation analysis linking hub genes with immune cell states, transcriptional regulation profiling of key hubs, and single-cell sequencing to assess the functional relevance of these hubs.…”

Data Sheet 1_Deciphering macrophage differentiation and cell death dynamics in heart failure: a single-cell sequencing odyssey.zip by Jin Wei (424761)

“…Aims<p>We hypothesize that specific macrophage differentiation trajectories in heart failure (HF) are coupled with subtype-specific and context-dependent engagement of programmed cell death (PCD) pathways, particularly ferroptosis and anoikis, which in turn influence disease progression and remodeling. …”

Data Sheet 2_Deciphering macrophage differentiation and cell death dynamics in heart failure: a single-cell sequencing odyssey.zip by Jin Wei (424761)

“…Aims<p>We hypothesize that specific macrophage differentiation trajectories in heart failure (HF) are coupled with subtype-specific and context-dependent engagement of programmed cell death (PCD) pathways, particularly ferroptosis and anoikis, which in turn influence disease progression and remodeling. …”

Data Sheet 1_Genetic variants and molecular profiling of 46,XY gonadal dysgenesis using whole-exome sequencing.docx by Ning Zhang (23771)

DataSheet1_Identification of novel biomarkers, shared molecular signatures and immune cell infiltration in heart and kidney failure by transcriptomics.docx by Qingqing Long (845156)

“…Introduction<p>Heart failure (HF) and kidney failure (KF) are closely related conditions that often coexist, posing a complex clinical challenge. …”

Assessing the risk of acute kidney injury associated with a four-drug regimen for heart failure: a ten-year real-world pharmacovigilance analysis based on FAERS events by Sen Lin (182597)

“…<p>The four-drug regimen for heart failure with reduced ejection fraction (HFrEF) significantly reduces the risks of hospitalization and mortality. …”

A Multi-Pathology Ballistocardiogram Dataset for Cardiac Function Monitoring and Arrhythmia Assessment by Jing Zhan (20716673)

“…This dataset is intended to foster research into innovative methods for assessing heart function, particularly in arrhythmic conditions, and to contribute to the development of more accurate, cost-effective, and accessible monitoring solutions for both clinical and home-based settings. …”

PPI Network and Module Identification of Sepsis-Related Genes. by Yiping Lang (21560364)

Pareto optimal front result of MOCOA. by Hang Zhao (143592)

“…A finite element model (FEM) of the human heart, grounded in the Hodgkin-Huxley (HH) model was established to simulate cardiac electrophysiology, and ECG signals from 200 representative points were acquired. …”

Confusion matrix. by Hang Zhao (143592)

“…A finite element model (FEM) of the human heart, grounded in the Hodgkin-Huxley (HH) model was established to simulate cardiac electrophysiology, and ECG signals from 200 representative points were acquired. …”

Action potential of sample points in model 1. by Hang Zhao (143592)

“…A finite element model (FEM) of the human heart, grounded in the Hodgkin-Huxley (HH) model was established to simulate cardiac electrophysiology, and ECG signals from 200 representative points were acquired. …”

Performance validation on the MIT-BIH database. by Hang Zhao (143592)

“…A finite element model (FEM) of the human heart, grounded in the Hodgkin-Huxley (HH) model was established to simulate cardiac electrophysiology, and ECG signals from 200 representative points were acquired. …”

Performance comparison with other papers. by Hang Zhao (143592)

“…A finite element model (FEM) of the human heart, grounded in the Hodgkin-Huxley (HH) model was established to simulate cardiac electrophysiology, and ECG signals from 200 representative points were acquired. …”

Action potential of sample points in model 2. by Hang Zhao (143592)

“…A finite element model (FEM) of the human heart, grounded in the Hodgkin-Huxley (HH) model was established to simulate cardiac electrophysiology, and ECG signals from 200 representative points were acquired. …”

Action potential of sample points in model 0. by Hang Zhao (143592)

“…A finite element model (FEM) of the human heart, grounded in the Hodgkin-Huxley (HH) model was established to simulate cardiac electrophysiology, and ECG signals from 200 representative points were acquired. …”

Deconvolution challenges due to coherence and heterogeneity. by Nuray Sogunmez Erdogan (21533872)

Overview of the comparative analysis of deconvolution model performances using synthetic spatial data in four different scenarios and six different mixture percentages. by Nuray Sogunmez Erdogan (21533872)

<b>A Multi-Pathology Ballistocardiogram Dataset for Cardiac Function Monitoring and Arrhythmia Assessment</b> by Jing Zhan (20716673)

“…Each row in subject_info.csv corresponds to an individual participant, listing their ID, sex, weight, height, age, heart rate, ejection fraction(EF) (%). These parameters establish an informative link between each participant’s anthropometric profile, cardiac function metrics, and the corresponding BCG, ECG, and ultrasound data.…”

PPI network and identification of hub genes. by Jun Li (6494)