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 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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