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Jingxin Ren

Showing results (1-10 of 17) with videos related to

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Life (Basel, Switzerland)|December 23, 2022
Identifying MicroRNA Markers That Predict COVID-19 Severity Using Machine Learning MethodsJingxin Ren, Wei Guo, Kaiyan Feng, et al.
Biomed Research International|January 9, 2023
Identification of Methylation Signatures and Rules for Sarcoma Subtypes by Machine Learning MethodsJingxin Ren, XianChao Zhou, Wei Guo, et al.
Life (Basel, Switzerland)|September 28, 2023
Identification of Colon Immune Cell Marker Genes Using Machine Learning MethodsYong Yang, Yuhang Zhang, Jingxin Ren, et al.
Frontiers in Microbiology|April 3, 2023
Identification of dynamic gene expression profiles during sequential vaccination with ChAdOx1/BNT162b2 using machine learning methodsJing Li, JingXin Ren, HuiPing Liao, et al.
Life (Basel, Switzerland)|May 27, 2026
Machine Learning-Based Identification of Candidate Serum miRNA Features for Pan-Cancer and Cancer Type ClassificationKaiyan Feng, Yusheng Bao, Jingxin Ren, et al.
Frontiers in Oncology|October 17, 2022
Functional and embedding feature analysis for pan-cancer classificationJian Lu, JiaRui Li, Jingxin Ren, et al.
Current Gene Therapy|October 1, 2024
Identification of Gene Signatures Associated with COVID-19 across Children, Adolescents, and Adults in the Nasopharynx and Peripheral Blood by Using a Machine Learning ApproachYuSheng Bao, JingXin Ren, 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.
Biochemical Genetics|February 26, 2026
Identification of Gene Signatures Differentiating Cancer from Normal Tissues Across Histological Classifications of Gastric Adenocarcinoma via Machine Learning MethodsJingxin Ren, Qian Gao, Xianchao Zhou, et al.
Life (Basel, Switzerland)|March 29, 2023
Identification of Genes Associated with the Impairment of Olfactory and Gustatory Functions in COVID-19 via Machine-Learning MethodsJingxin Ren, Yuhang Zhang, Wei Guo, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Life (Basel, Switzerland)|December 23, 2022
Identifying MicroRNA Markers That Predict COVID-19 Severity Using Machine Learning MethodsJingxin Ren, Wei Guo, Kaiyan Feng, et al.
Biomed Research International|January 9, 2023
Identification of Methylation Signatures and Rules for Sarcoma Subtypes by Machine Learning MethodsJingxin Ren, XianChao Zhou, Wei Guo, et al.
Life (Basel, Switzerland)|September 28, 2023
Identification of Colon Immune Cell Marker Genes Using Machine Learning MethodsYong Yang, Yuhang Zhang, Jingxin Ren, et al.
Frontiers in Microbiology|April 3, 2023
Identification of dynamic gene expression profiles during sequential vaccination with ChAdOx1/BNT162b2 using machine learning methodsJing Li, JingXin Ren, HuiPing Liao, et al.
Life (Basel, Switzerland)|May 27, 2026
Machine Learning-Based Identification of Candidate Serum miRNA Features for Pan-Cancer and Cancer Type ClassificationKaiyan Feng, Yusheng Bao, Jingxin Ren, et al.
Frontiers in Oncology|October 17, 2022
Functional and embedding feature analysis for pan-cancer classificationJian Lu, JiaRui Li, Jingxin Ren, et al.
Current Gene Therapy|October 1, 2024
Identification of Gene Signatures Associated with COVID-19 across Children, Adolescents, and Adults in the Nasopharynx and Peripheral Blood by Using a Machine Learning ApproachYuSheng Bao, JingXin Ren, 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.
Biochemical Genetics|February 26, 2026
Identification of Gene Signatures Differentiating Cancer from Normal Tissues Across Histological Classifications of Gastric Adenocarcinoma via Machine Learning MethodsJingxin Ren, Qian Gao, Xianchao Zhou, et al.
Life (Basel, Switzerland)|March 29, 2023
Identification of Genes Associated with the Impairment of Olfactory and Gustatory Functions in COVID-19 via Machine-Learning MethodsJingxin Ren, Yuhang Zhang, Wei Guo, et al.
Pageof 2