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Journal of Computer-Aided Molecular Design|December 21, 2014
A comparative study of family-specific protein-ligand complex affinity prediction based on random forest approachYu Wang, Yanzhi Guo, Qifan Kuang, et al.Neurological Sciences : Official Journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology|January 19, 2023
A pilot study on identifying gene signatures as markers for predicting patient response to antiseizure medicationsYifei Duan, Liyuan Kang, Yujie He, et al.Amino Acids|October 13, 2009
Using auto covariance method for functional discrimination of membrane proteins based on evolution informationLi Yang, Yizhou Li, Rongquan Xiao, et al.Scientific Reports|November 23, 2016
Molecular mechanism of carbon nanotube to activate Subtilisin Carlsberg in polar and non-polar organic mediaLiyun Zhang, Yuzhi Li, Yuan Yuan, et al.Scientific Reports|January 20, 2016
A Combination of Chemometrics and Quantum Mechanics Methods Applied to Analysis of Femtosecond Transient Absorption Spectrum of Ortho-NitroanilineJing Yi, Ying Xiong, Kemei Cheng, et al.Translational Cancer Research|January 16, 2025
A multi-gene blood-based methylation assay for early diagnosis of colorectal cancerYingshuo Xu, Huaidong Qu, Rui Liang, et al.Journal of Pharmaceutical Analysis|September 22, 2025
An inductive learning-based method for predicting drug-gene interactions using a multi-relational drug-disease-gene graphJian He, Yanling Wu, Linxi Yuan, et al.Frontiers in Pharmacology|March 14, 2022
Structure-Activity Relationship (SAR) Model for Predicting Teratogenic Risk of Antiseizure Medications in Pregnancy by Using Support Vector MachineLiyuan Kang, Yifei Duan, Cheng Chen, et al.International Journal of Genomics|August 24, 2017
A New Network-Based Strategy for Predicting the Potential miRNA-mRNA Interactions in TumorigenesisJiwei Xue, Fanfan Xie, Junmei Xu, et al.Computational Biology and Chemistry|January 23, 2017
Bipartite network analysis reveals metabolic gene expression profiles that are highly associated with the clinical outcomes of acute myeloid leukemiaFanfan Xie, Mingxiong He, Li He, et al.Pageof 55