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Qinglan Ma

Showing results (11-20 of 21) with videos related to

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Life (Basel, Switzerland)|June 26, 2025
Transcriptomic and miRNA Signatures of ChAdOx1 nCoV-19 Vaccine Response Using Machine LearningJinting Lin, Qinglan Ma, Lei Chen, et al.
Biomed Research International|January 16, 2023
Identification of Smoking-Associated Transcriptome Aberration in Blood with Machine Learning MethodsFeiMing Huang, QingLan Ma, JingXin Ren, et al.
Nanomaterials (Basel, Switzerland)|March 2, 2019
Self-Assembled Vanadium Oxide Nanoflakes for p-Type Ammonia Sensors at Room TemperatureHaihong Yin, Changqing Song, Zhiliang Wang, et al.
Life (Basel, Switzerland)|July 29, 2025
Unveiling Immune Response Mechanisms in Mpox Infection Through Machine Learning Analysis of Time Series Gene Expression DataQinglan Ma, Xianchao Zhou, Lei Chen, et al.
Frontiers in Genetics|April 3, 2023
Immune responses of different COVID-19 vaccination strategies by analyzing single-cell RNA sequencing data from multiple tissues using machine learning methodsHao Li, Qinglan Ma, Jingxin Ren, et al.
Proteomics. Clinical Applications|July 1, 2025
Machine Learning-Driven Discovery of Essential Binding Preference in Anti-CRISPR ProteinsQingLan Ma, YuHang Zhang, Lei Chen, et al.
Scientific Reports|February 20, 2016
Tunable integration of absorption-membrane-adsorption for efficiently separating low boiling gas mixtures near normal temperatureHuang Liu, Yong Pan, Bei Liu, et al.
Life (Basel, Switzerland)|April 28, 2023
Using Machine Learning Methods in Identifying Genes Associated with COVID-19 in Cardiomyocytes and Cardiac Vascular Endothelial CellsYaochen Xu, Qinglan Ma, Jingxin Ren, et al.
Cancer Genetics|January 10, 2026
Identifying transcriptional signatures of leukocytes in tissue and blood for multicancer diagnosis by using machine learning methodsQingLan Ma, JingXin Ren, Lei Chen, et al.
Current Gene Therapy|July 17, 2025
Identification of Key Features Pivotal to the Characteristics and Functions of Gut Bacteria Taxa through Machine Learning MethodsZhanDong Li, QingLan Ma, Hao Li, et al.
Pageof 3

Showing results (11-20 of 21) with videos related to

Sort By:
Pageof 3
Life (Basel, Switzerland)|June 26, 2025
Transcriptomic and miRNA Signatures of ChAdOx1 nCoV-19 Vaccine Response Using Machine LearningJinting Lin, Qinglan Ma, Lei Chen, et al.
Biomed Research International|January 16, 2023
Identification of Smoking-Associated Transcriptome Aberration in Blood with Machine Learning MethodsFeiMing Huang, QingLan Ma, JingXin Ren, et al.
Nanomaterials (Basel, Switzerland)|March 2, 2019
Self-Assembled Vanadium Oxide Nanoflakes for p-Type Ammonia Sensors at Room TemperatureHaihong Yin, Changqing Song, Zhiliang Wang, et al.
Life (Basel, Switzerland)|July 29, 2025
Unveiling Immune Response Mechanisms in Mpox Infection Through Machine Learning Analysis of Time Series Gene Expression DataQinglan Ma, Xianchao Zhou, Lei Chen, et al.
Frontiers in Genetics|April 3, 2023
Immune responses of different COVID-19 vaccination strategies by analyzing single-cell RNA sequencing data from multiple tissues using machine learning methodsHao Li, Qinglan Ma, Jingxin Ren, et al.
Proteomics. Clinical Applications|July 1, 2025
Machine Learning-Driven Discovery of Essential Binding Preference in Anti-CRISPR ProteinsQingLan Ma, YuHang Zhang, Lei Chen, et al.
Scientific Reports|February 20, 2016
Tunable integration of absorption-membrane-adsorption for efficiently separating low boiling gas mixtures near normal temperatureHuang Liu, Yong Pan, Bei Liu, et al.
Life (Basel, Switzerland)|April 28, 2023
Using Machine Learning Methods in Identifying Genes Associated with COVID-19 in Cardiomyocytes and Cardiac Vascular Endothelial CellsYaochen Xu, Qinglan Ma, Jingxin Ren, et al.
Cancer Genetics|January 10, 2026
Identifying transcriptional signatures of leukocytes in tissue and blood for multicancer diagnosis by using machine learning methodsQingLan Ma, JingXin Ren, Lei Chen, et al.
Current Gene Therapy|July 17, 2025
Identification of Key Features Pivotal to the Characteristics and Functions of Gut Bacteria Taxa through Machine Learning MethodsZhanDong Li, QingLan Ma, Hao Li, et al.
Pageof 3