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Jingxin Ren

Showing results (11-20 of 17) with videos related to

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Computers in Biology and Medicine|December 29, 2023
Identification of key genes associated with persistent immune changes and secondary immune activation responses induced by influenza vaccination after COVID-19 recovery by machine learning methodsJingxin Ren, XianChao Zhou, Ke Huang, 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.
Medical & Biological Engineering & Computing|December 20, 2023
Identification of key gene expression associated with quality of life after recovery from COVID-19JingXin Ren, Qian Gao, XianChao Zhou, et al.
Frontiers in Bioscience (Landmark Edition)|December 8, 2023
Identification of Whole-Blood DNA Methylation Signatures and Rules Associated with COVID-19 SeverityFei Yuan, JingXin Ren, HuiPing Liao, 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.
Vaccine|August 25, 2024
Identification of gene and protein signatures associated with long-term effects of COVID-19 on the immune system after patient recovery by analyzing single-cell multi-omics data using a machine learning approachJingXin Ren, Qian Gao, XianChao Zhou, et al.
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Showing results (11-20 of 17) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 17 results.
Computers in Biology and Medicine|December 29, 2023
Identification of key genes associated with persistent immune changes and secondary immune activation responses induced by influenza vaccination after COVID-19 recovery by machine learning methodsJingxin Ren, XianChao Zhou, Ke Huang, 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.
Medical & Biological Engineering & Computing|December 20, 2023
Identification of key gene expression associated with quality of life after recovery from COVID-19JingXin Ren, Qian Gao, XianChao Zhou, et al.
Frontiers in Bioscience (Landmark Edition)|December 8, 2023
Identification of Whole-Blood DNA Methylation Signatures and Rules Associated with COVID-19 SeverityFei Yuan, JingXin Ren, HuiPing Liao, 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.
Vaccine|August 25, 2024
Identification of gene and protein signatures associated with long-term effects of COVID-19 on the immune system after patient recovery by analyzing single-cell multi-omics data using a machine learning approachJingXin Ren, Qian Gao, XianChao Zhou, et al.
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