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Jianjun Tan

Showing results (1-10 of 43) with videos related to

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Briefings in Functional Genomics|June 14, 2024
Advances in integrating single-cell sequencing data to unravel the mechanism of ferroptosis in cancerZhaolan Du, Yi Shi, Jianjun Tan
Current Cancer Drug Targets|July 10, 2025
Analysis of Single-Cell RNA-Seq Data to Investigate Tumor Cell Heterogeneity in Uroepithelial Bladder Cancer and Predict Immunotherapy ResponseLu Zhang, Yu Wang, Jianjun Tan
Drug Discovery Today|January 19, 2025
Applications and emerging challenges of single-cell RNA sequencing technology in tumor drug discoveryLu Zhang, Yueying Yang, Jianjun Tan
Drug Discovery Today|November 12, 2022
Recent advances in predicting lncRNA-disease associations based on computational methodsJing Yan, Ruobing Wang, Jianjun Tan
Computational Biology and Chemistry|January 14, 2026
GCLSC: Single-cell clustering model based on graph contrastive learningHui An, Teng Zhang, Jianjun Tan
Drug Discovery Today|July 30, 2015
Development of HIV-1 integrase inhibitors: recent molecular modeling perspectivesMin Su, Jianjun Tan, Chun-Yuan Lin
Bioorganic & Medicinal Chemistry|December 27, 2015
Design, synthesis and activity evaluation of novel peptide fusion inhibitors targeting HIV-1 gp41Jianjun Tan, Min Su, Yi Zeng, et al.
Aging|August 11, 2023
Metastasis-related long non-coding RNAs AL359220.1, SH3BP5-AS1 and ZF-AS1 are significant for prognostic assessment of lung adenocarcinomaJianjun Tan, Weilin Mao, Shuzi Long, et al.
Medicinal Chemistry (Shariqah (United Arab Emirates))|April 5, 2022
The Identification and Analysis of MicroRNAs Combined Biomarkers for Hepatocellular Carcinoma DiagnosisYi Shi, Jingrui Men, Hongliang Sun, et al.
Drug Discovery Today|September 8, 2017
From machine learning to deep learning: progress in machine intelligence for rational drug discoveryLu Zhang, Jianjun Tan, Dan Han, et al.
Pageof 5

Showing results (1-10 of 43) with videos related to

Sort By:
Pageof 5
Briefings in Functional Genomics|June 14, 2024
Advances in integrating single-cell sequencing data to unravel the mechanism of ferroptosis in cancerZhaolan Du, Yi Shi, Jianjun Tan
Current Cancer Drug Targets|July 10, 2025
Analysis of Single-Cell RNA-Seq Data to Investigate Tumor Cell Heterogeneity in Uroepithelial Bladder Cancer and Predict Immunotherapy ResponseLu Zhang, Yu Wang, Jianjun Tan
Drug Discovery Today|January 19, 2025
Applications and emerging challenges of single-cell RNA sequencing technology in tumor drug discoveryLu Zhang, Yueying Yang, Jianjun Tan
Drug Discovery Today|November 12, 2022
Recent advances in predicting lncRNA-disease associations based on computational methodsJing Yan, Ruobing Wang, Jianjun Tan
Computational Biology and Chemistry|January 14, 2026
GCLSC: Single-cell clustering model based on graph contrastive learningHui An, Teng Zhang, Jianjun Tan
Drug Discovery Today|July 30, 2015
Development of HIV-1 integrase inhibitors: recent molecular modeling perspectivesMin Su, Jianjun Tan, Chun-Yuan Lin
Bioorganic & Medicinal Chemistry|December 27, 2015
Design, synthesis and activity evaluation of novel peptide fusion inhibitors targeting HIV-1 gp41Jianjun Tan, Min Su, Yi Zeng, et al.
Aging|August 11, 2023
Metastasis-related long non-coding RNAs AL359220.1, SH3BP5-AS1 and ZF-AS1 are significant for prognostic assessment of lung adenocarcinomaJianjun Tan, Weilin Mao, Shuzi Long, et al.
Medicinal Chemistry (Shariqah (United Arab Emirates))|April 5, 2022
The Identification and Analysis of MicroRNAs Combined Biomarkers for Hepatocellular Carcinoma DiagnosisYi Shi, Jingrui Men, Hongliang Sun, et al.
Drug Discovery Today|September 8, 2017
From machine learning to deep learning: progress in machine intelligence for rational drug discoveryLu Zhang, Jianjun Tan, Dan Han, et al.
Pageof 5