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Journal of Chemical Information and Modeling|June 6, 2025
MFDSMC: Accurate Identification of Cancer-Driver Synonymous Mutations Using Multiperspective Feature Representation LearningLihua Wang, Chen Ye, Na Cheng, et al.Journal of Chemical Information and Modeling|March 13, 2025
FDPSM: Feature-Driven Prediction Modeling of Pathogenic Synonymous MutationsFangfang Jin, Na Cheng, Lihua Wang, et al.Genome Research|December 17, 2025
The SynMall resource for characterizing the functional impact of synonymous variationChen Ye, Xiaoyan Li, Na Cheng, et al.Journal of Chemical Information and Modeling|June 16, 2026
EECFS: Efficient Ensemble Causal Feature Selection for High-Dimensional Molecular DataChen Ye, Ziheng Hong, Na Cheng, et al.ACS Omega|October 27, 2025
DRP-PSM: Multi-Level Feature Integration Reveals Hierarchical Contributions to Pathogenic Synonymous Mutation PredictionJinsong Cai, Fangfang Jin, Na Cheng, et al.Plos Computational Biology|September 12, 2022
PrMFTP: Multi-functional therapeutic peptides prediction based on multi-head self-attention mechanism and class weight optimizationWenhui Yan, Wending Tang, Lihua Wang, et al.Frontiers in Genetics|April 13, 2023
PredDSMC: A predictor for driver synonymous mutations in human cancersLihua Wang, Jianhui Sun, Shunshuai Ma, et al.Briefings in Bioinformatics|July 18, 2018
dbCID: a manually curated resource for exploring the driver indels in human cancerZhenyu Yue, Le Zhao, Na Cheng, et al.BMC Biology|August 9, 2025
Prediction of human pathogenic start loss variants based on self-supervised contrastive learningJie Liu, Henghui Fan, Na Cheng, et al.Peerj|September 10, 2024
CDMPred: a tool for predicting cancer driver missense mutations with high-quality passenger mutationsLihua Wang, Haiyang Sun, Zhenyu Yue, et al.Pageof 239