This study established an integrated framework combining multi-omics analysis, machine learning (ML), single-cell RNA sequencing (scRNA-seq), molecular docking, and in vitro validation to investigate potential mechanisms and therapeutic targets of obesity-associated asthenozoospermia (AZS). Based on transcriptomic data...
Peng-Rui Wang, Fei Teng, Siyu Tong et al.· Biochemical and Biophysical...· 0 citations
This bibliometric study systematically maps the global landscape of mitochondrial research in DN from 2016 to 2025. To maintain consistency with the study title and search focus, DN is used as the primary term, whereas diabetic kidney disease (DKD) is retained only when describing search terms, screening criteria, or o...
Peng-Rui Wang, Yifei Wang, Fei Teng et al.· Journal of Visualized Experi...· 0 citations
This study describes a reproducible computational workflow for identifying endoplasmic reticulum stress (ERS)-related gene signatures in atrial fibrillation (AF) by integrating bulk transcriptomics, machine learning, immune infiltration analysis, and single-cell transcriptomics. Public bulk transcriptomic datasets were...
Qing-Rui Li, Fei Teng, Xiangyu Ji et al.· Journal of Visualized Experi...· 0 citations
This study provides a reproducible in silico workflow for generating hypotheses about MPO-associated immune/myeloid features in breast cancer, which require external cohort validation and experimental confirmation.
Qing-Rui Li, Fei Teng, Weijia Kong et al.· Journal of Visualized Experi...· 0 citations
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