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Juanjuan Kang

Showing results (1-10 of 27) with videos related to

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Computational and Structural Biotechnology Journal|October 2, 2020
ncPro-ML: An integrated computational tool for identifying non-coding RNA promoters in multiple speciesQiang Tang, Fulei Nie, Juanjuan Kang, et al.
Molecular Therapy : the Journal of the American Society of Gene Therapy|April 6, 2021
mRNALocater: Enhance the prediction accuracy of eukaryotic mRNA subcellular localization by using model fusion strategyQiang Tang, Fulei Nie, Juanjuan Kang, et al.
Frontiers in Genetics|November 16, 2020
Systematic Analysis of Competing Endogenous RNA Networks in Diffuse Large B-Cell Lymphoma and Hodgkin's LymphomaJuanjuan Kang, Pengcheng Yao, Qiang Tang, et al.
Journal of Immunological Methods|April 12, 2015
NIEluter: Predicting peptides eluted from HLA class I moleculesQiang Tang, Fulei Nie, Juanjuan Kang, et al.
Computational and Mathematical Methods in Medicine|July 25, 2022
The Clinical Application Value of the Prognostic Nutritional Index for the Overall Survival Prognosis of Patients with Esophageal Cancer: A Robust Real-World Observational Study in ChinaJuanjuan Kang, Guishu Yang, Dongsheng Wang, et al.
Biomed Research International|February 16, 2018
PSBinder: A Web Service for Predicting Polystyrene Surface-Binding PeptidesNing Li, Juanjuan Kang, Lixu Jiang, et al.
Biomed Research International|September 10, 2016
SABinder: A Web Service for Predicting Streptavidin-Binding PeptidesBifang He, Juanjuan Kang, Beibei Ru, et al.
IET Systems Biology|October 5, 2025
Deciphering the Molecular Mechanisms of Polycystic Ovary Syndrome and Flaxseed Therapy Through Transcriptomics and Machine LearningSiyu Tian, Qiang Tang, Shijie Liu, et al.
Molecular Therapy. Nucleic Acids|January 26, 2026
cncFinder: A graph-attention-network-based interpretable learning model to identify bifunctional long non-coding RNAsQiang Tang, Yang Yu, Min Shen, et al.
Blood Science (Baltimore, Md.)|December 15, 2022
Artificial intelligence and its applications in digital hematopathologyYongfei Hu, Yinglun Luo, Guangjue Tang, et al.
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Computational and Structural Biotechnology Journal|October 2, 2020
ncPro-ML: An integrated computational tool for identifying non-coding RNA promoters in multiple speciesQiang Tang, Fulei Nie, Juanjuan Kang, et al.
Molecular Therapy : the Journal of the American Society of Gene Therapy|April 6, 2021
mRNALocater: Enhance the prediction accuracy of eukaryotic mRNA subcellular localization by using model fusion strategyQiang Tang, Fulei Nie, Juanjuan Kang, et al.
Frontiers in Genetics|November 16, 2020
Systematic Analysis of Competing Endogenous RNA Networks in Diffuse Large B-Cell Lymphoma and Hodgkin's LymphomaJuanjuan Kang, Pengcheng Yao, Qiang Tang, et al.
Journal of Immunological Methods|April 12, 2015
NIEluter: Predicting peptides eluted from HLA class I moleculesQiang Tang, Fulei Nie, Juanjuan Kang, et al.
Computational and Mathematical Methods in Medicine|July 25, 2022
The Clinical Application Value of the Prognostic Nutritional Index for the Overall Survival Prognosis of Patients with Esophageal Cancer: A Robust Real-World Observational Study in ChinaJuanjuan Kang, Guishu Yang, Dongsheng Wang, et al.
Biomed Research International|February 16, 2018
PSBinder: A Web Service for Predicting Polystyrene Surface-Binding PeptidesNing Li, Juanjuan Kang, Lixu Jiang, et al.
Biomed Research International|September 10, 2016
SABinder: A Web Service for Predicting Streptavidin-Binding PeptidesBifang He, Juanjuan Kang, Beibei Ru, et al.
IET Systems Biology|October 5, 2025
Deciphering the Molecular Mechanisms of Polycystic Ovary Syndrome and Flaxseed Therapy Through Transcriptomics and Machine LearningSiyu Tian, Qiang Tang, Shijie Liu, et al.
Molecular Therapy. Nucleic Acids|January 26, 2026
cncFinder: A graph-attention-network-based interpretable learning model to identify bifunctional long non-coding RNAsQiang Tang, Yang Yu, Min Shen, et al.
Blood Science (Baltimore, Md.)|December 15, 2022
Artificial intelligence and its applications in digital hematopathologyYongfei Hu, Yinglun Luo, Guangjue Tang, et al.
Pageof 3