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Qiuqiao Mu

Showing results (1-10 of 15) with videos related to

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Frontiers in Immunology|October 30, 2025
Integrative modeling of malignant epithelial programs in EGFR-mutant LUAD via single-cell transcriptomics and multi-algorithm machine learningWeiran Zhang, Lin Tan, Qiuqiao Mu, et al.
Scientific Reports|February 9, 2026
Integrative single-cell and machine learning framework reveals prognostic fibroblast subtypes and constructs a fibroblast-related risk signature in lung adenocarcinomaShizhao Cheng, Han Zhang, Qiuqiao Mu, et al.
Frontiers in Immunology|January 30, 2026
Neoadjuvant therapy-associated malignant phenotype score predicts prognosis and highlights the roles of MIF signaling and DUXAP8 in ESCCWenchao Xia, Tan Lin, Mengnan Shi, et al.
Cancers|September 13, 2025
Application of Single-Cell Sequencing and Machine Learning in Prognosis and Immune Profiling of Lung Adenocarcinoma: Exploring Disease Mechanisms and Treatment Strategies Based on Circadian Rhythm Gene SignaturesQiuqiao Mu, Han Zhang, Kai Wang, et al.
Mediators of Inflammation|December 4, 2025
A Machine Learning-Derived Taurine Metabolism Signature Predicts Prognosis and Immune Landscape in Lung Adenocarcinoma via Integrative Single-Cell AnalysisMeng Wang, Qiuqiao Mu, Yuhang Jiang, et al.
Frontiers in Immunology|March 16, 2026
Integrative multi-omics and machine learning reveals the spatial niche distribution and role of CYP27A1<sup>+</sup>TAMs in immunotherapy response in non-small cell lung cancerQingsheng Liu, Xufeng Liu, Han Zhang, et al.
Frontiers in Immunology|April 1, 2026
Correction: Integrative multi-omics and machine learning reveals the spatial niche distribution and role of CYP27A1+TAMs in immunotherapy response in non-small cell lung cancerQingsheng Liu, Xufeng Liu, Han Zhang, et al.
Frontiers in Immunology|January 24, 2025
Macrophage heterogeneity and oncogenic mechanisms in lung adenocarcinoma: insights from scRNA-seq analysis and predictive modelingHan Zhang, Jiaxing Dai, Qiuqiao Mu, et al.
Journal of Translational Medicine|September 24, 2025
Integrative single-cell and machine learning approach to characterize immunogenic cell death and tumor microenvironment in LUADHan Zhang, Qiuqiao Mu, Yuhang Jiang, et al.
Cancers|January 10, 2026
Integrative Single-Cell and Machine Learning Analysis Identifies a Nucleotide Metabolism-Related Signature Predicting Prognosis and Immunotherapy Response in LUADShuai Zhao, Han Zhang, Qiuqiao Mu, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Frontiers in Immunology|October 30, 2025
Integrative modeling of malignant epithelial programs in EGFR-mutant LUAD via single-cell transcriptomics and multi-algorithm machine learningWeiran Zhang, Lin Tan, Qiuqiao Mu, et al.
Scientific Reports|February 9, 2026
Integrative single-cell and machine learning framework reveals prognostic fibroblast subtypes and constructs a fibroblast-related risk signature in lung adenocarcinomaShizhao Cheng, Han Zhang, Qiuqiao Mu, et al.
Frontiers in Immunology|January 30, 2026
Neoadjuvant therapy-associated malignant phenotype score predicts prognosis and highlights the roles of MIF signaling and DUXAP8 in ESCCWenchao Xia, Tan Lin, Mengnan Shi, et al.
Cancers|September 13, 2025
Application of Single-Cell Sequencing and Machine Learning in Prognosis and Immune Profiling of Lung Adenocarcinoma: Exploring Disease Mechanisms and Treatment Strategies Based on Circadian Rhythm Gene SignaturesQiuqiao Mu, Han Zhang, Kai Wang, et al.
Mediators of Inflammation|December 4, 2025
A Machine Learning-Derived Taurine Metabolism Signature Predicts Prognosis and Immune Landscape in Lung Adenocarcinoma via Integrative Single-Cell AnalysisMeng Wang, Qiuqiao Mu, Yuhang Jiang, et al.
Frontiers in Immunology|March 16, 2026
Integrative multi-omics and machine learning reveals the spatial niche distribution and role of CYP27A1<sup>+</sup>TAMs in immunotherapy response in non-small cell lung cancerQingsheng Liu, Xufeng Liu, Han Zhang, et al.
Frontiers in Immunology|April 1, 2026
Correction: Integrative multi-omics and machine learning reveals the spatial niche distribution and role of CYP27A1+TAMs in immunotherapy response in non-small cell lung cancerQingsheng Liu, Xufeng Liu, Han Zhang, et al.
Frontiers in Immunology|January 24, 2025
Macrophage heterogeneity and oncogenic mechanisms in lung adenocarcinoma: insights from scRNA-seq analysis and predictive modelingHan Zhang, Jiaxing Dai, Qiuqiao Mu, et al.
Journal of Translational Medicine|September 24, 2025
Integrative single-cell and machine learning approach to characterize immunogenic cell death and tumor microenvironment in LUADHan Zhang, Qiuqiao Mu, Yuhang Jiang, et al.
Cancers|January 10, 2026
Integrative Single-Cell and Machine Learning Analysis Identifies a Nucleotide Metabolism-Related Signature Predicting Prognosis and Immunotherapy Response in LUADShuai Zhao, Han Zhang, Qiuqiao Mu, et al.
Pageof 2