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Yajing Li

Showing results (1-10 of 266) with videos related to

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Biochemical and Biophysical Research Communications|August 22, 2020
MIR31HG exhibits oncogenic property and acts as a sponge for miR-361-3p in cervical carcinomaYajing Li
International Journal of Analytical Chemistry|December 2, 2024
Bioinformatics and Machine Learning-Based Identification of Critical Biomarkers and Immune Infiltration in Venous ThromboembolismYajing Li, Hongru Deng
Renal Failure|March 27, 2024
Comprehensive analysis of cuproptosis-related genes in immune infiltration and development of a novel diagnostic model for acute kidney injuryYajing Li, Yingxue Ding
Current Drug Targets|September 20, 2022
Targeted Covalent Inhibition: A Prospective Way to Develop Novel HSP90 C-terminal InhibitorYajun Liu, Yajing Li
Theoretical Biology & Medical Modelling|February 16, 2013
A statistical thin-tail test of predicting regulatory regions in the Drosophila genomeJian-Jun Shu, Yajing Li
Computers in Biology and Medicine|August 14, 2012
A statistical fat-tail test of predicting regulatory regions in the Drosophila genomeJian-Jun Shu, Yajing Li
International Journal of Molecular Sciences|November 11, 2022
Thermophilic Inorganic Pyrophosphatase Ton1914 from <i>Thermococcus onnurineus</i> NA1 Removes the Inhibitory Effect of PyrophosphateYajing Li, Xue Yang, Renjun Gao
Animals : an Open Access Journal From MDPI|July 9, 2022
Carboxylated ε-Poly-L-Lysine Supplementation of the Freezing Extender Improves the Post-Thawing Boar Sperm QualityWeijing Zhang, Yajing Li, Zhendong Zhu
BMC Nephrology|December 16, 2025
Risk factors for short-term mortality in elderly critically ill AKI patients treated with CRRT in the ICU: a retrospective cohort studyXiaoling Zhang, Yajing Li, Shuting Feng
Diagnostics (Basel, Switzerland)|January 10, 2026
Interpretable Machine Learning for Predicting Cefoperazone-Sulbactam-Associated Coagulation Abnormalities in Elderly Inpatients: A Dual-Center Retrospective StudyYajing Li, Hongru Deng, Yongquan Gu
Pageof 27

Showing results (1-10 of 266) with videos related to

Sort By:
Pageof 27
Biochemical and Biophysical Research Communications|August 22, 2020
MIR31HG exhibits oncogenic property and acts as a sponge for miR-361-3p in cervical carcinomaYajing Li
International Journal of Analytical Chemistry|December 2, 2024
Bioinformatics and Machine Learning-Based Identification of Critical Biomarkers and Immune Infiltration in Venous ThromboembolismYajing Li, Hongru Deng
Renal Failure|March 27, 2024
Comprehensive analysis of cuproptosis-related genes in immune infiltration and development of a novel diagnostic model for acute kidney injuryYajing Li, Yingxue Ding
Current Drug Targets|September 20, 2022
Targeted Covalent Inhibition: A Prospective Way to Develop Novel HSP90 C-terminal InhibitorYajun Liu, Yajing Li
Theoretical Biology & Medical Modelling|February 16, 2013
A statistical thin-tail test of predicting regulatory regions in the Drosophila genomeJian-Jun Shu, Yajing Li
Computers in Biology and Medicine|August 14, 2012
A statistical fat-tail test of predicting regulatory regions in the Drosophila genomeJian-Jun Shu, Yajing Li
International Journal of Molecular Sciences|November 11, 2022
Thermophilic Inorganic Pyrophosphatase Ton1914 from <i>Thermococcus onnurineus</i> NA1 Removes the Inhibitory Effect of PyrophosphateYajing Li, Xue Yang, Renjun Gao
Animals : an Open Access Journal From MDPI|July 9, 2022
Carboxylated ε-Poly-L-Lysine Supplementation of the Freezing Extender Improves the Post-Thawing Boar Sperm QualityWeijing Zhang, Yajing Li, Zhendong Zhu
BMC Nephrology|December 16, 2025
Risk factors for short-term mortality in elderly critically ill AKI patients treated with CRRT in the ICU: a retrospective cohort studyXiaoling Zhang, Yajing Li, Shuting Feng
Diagnostics (Basel, Switzerland)|January 10, 2026
Interpretable Machine Learning for Predicting Cefoperazone-Sulbactam-Associated Coagulation Abnormalities in Elderly Inpatients: A Dual-Center Retrospective StudyYajing Li, Hongru Deng, Yongquan Gu
Pageof 27