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Oncotargets and Therapy|January 21, 2025
Integrated Network Pharmacology, Machine Learning and Experimental Validation to Identify the Key Targets and Compounds of TiaoShenGongJian for the Treatment of Breast CancerHuiyan Ying, Weikaixin Kong, Xiangwei XuComputational Biology and Chemistry|June 22, 2020
Prediction of 5-hydroxytryptamine transporter inhibitors based on machine learningWeikaixin Kong, Wenyu Wang, Jinbing AnInternational Journal of Molecular Sciences|June 2, 2021
Expression and Prognostic Characteristics of Ferroptosis-Related Genes in Colon CancerJie Zhu, Weikaixin Kong, Zhengwei XieInternational Journal of Molecular Sciences|April 29, 2020
Identification of Key Genes Related to Lung Squamous Cell Carcinoma Using Bioinformatics AnalysisMiaomiao Gao, Weikaixin Kong, Zhuo Huang, et al.Bioorganic Chemistry|November 6, 2025
PDL1-inhi.predictor: a two-tiered machine learning framework for predicting and prioritizing PDL1 inhibitorsHuiyan Ying, Junting Liu, Weikaixin Kong, et al.International Journal of Molecular Sciences|March 6, 2021
Expression and Prognostic Characteristics of m6A RNA Methylation Regulators in Colon CancerLiting Huang, Jie Zhu, Weikaixin Kong, et al.Frontiers in Immunology|April 6, 2023
Identification of immunotherapy and chemotherapy-related molecular subtypes in colon cancer by integrated multi-omics data analysisJie Zhu, Weikaixin Kong, Liting Huang, et al.Journal of Chemical Information and Modeling|May 19, 2020
Prediction and Optimization of NaV1.7 Sodium Channel Inhibitors Based on Machine Learning and Simulated AnnealingWeikaixin Kong, Xinyu Tu, Weiran Huang, et al.Aging|August 28, 2020
Prognostic model of patients with liver cancer based on tumor stem cell content and immune processWeikaixin Kong, Miaomiao Gao, Yuchen Jin, et al.Imeta|June 13, 2024
Adaptive best subset selection algorithm and genetic algorithm aided ensemble learning method identified a robust severity score of COVID-19 patientsWeikaixin Kong, Jie Zhu, Suzhen Bi, et al.Pageof 3