Prediction of Presynaptic and Postsynaptic Neurotoxins Using Hybrid Approach and Pseudo Amino Acid Composition. - Lei Yang; Qianzhong Li; Yongchun Zuo (BMEI, 2009)

Predicting Plant Pol-II Promoter Based on Subsequence Increment of Overlap Content Diversity. - Yongchun Zuo; Qianzhong Li (BMEI, 2009)

PreDNA: accurate prediction of DNA-binding sites in proteins by integrating sequence and geometric structure information. - Tao Li; Qian-Zhong Li; Shuai Liu 002; Guoliang Fan; Yongchun Zuo; Yong Peng (Bioinform., 2013)

Dynamic and modular gene regulatory networks drive the development of gametogenesis. - Dongxue Che; Yang Wang; Weiyang Bai; Leijie Li; Guiyou Liu; Liangcai Zhang; Yongchun Zuo; Shiheng Tao; Jinlian Hua; Mingzhi Liao (Briefings Bioinform., 2017)

PseKRAAC: a flexible web server for generating pseudo K-tuple reduced amino acids composition. - Yongchun Zuo; Yuan Li; Yingli Chen; Guangpeng Li; Zhenhe Yan; Lei Yang (Bioinform., 2017)

Nucleosome Positioning With Fractal Entropy Increment of Diversity in Telemedicine. - Mengye Lu; Shuai Liu 002; Arun Kumar Sangaiah; Yunpeng Zhou; Zheng Pan; Yongchun Zuo (IEEE Access, 2018)

Genome-wide analysis of H3K36me3 and its regulations to cancer-related genes expression in human cell lines. - Lu-Qiang Zhang; Qian-Zhong Li; Wen Jin; Yongchun Zuo; Shu-Chun Guo (Biosyst., 2018)

Transcriptome Comparisons of Multi-Species Identify Differential Genome Activation of Mammals Embryogenesis. - Chunshen Long; Wei Li 068; Pengfei Liang; Shuai Liu 002; Yongchun Zuo (IEEE Access, 2019)

Function determinants of TET proteins: the arrangements of sequence motifs with specific codes. - Dongyang Liu; Guangpeng Li; Yongchun Zuo (Briefings Bioinform., 2019)

RAACBook: a web server of reduced amino acid alphabet for sequence-dependent inference by using Chou's five-step rule. - Lei Zheng; Shenghui Huang; Nengjiang Mu; Haoyue Zhang; Jiayu Zhang; Yu Chang; Lei Yang; Yongchun Zuo (Database J. Biol. Databases Curation, 2019)

Mining Key Regulators of Cell Reprogramming and Prediction Research Based on Deep Learning Neural Networks. - Na Ta 005; Hanshuang Li; Shuai Liu 002; Yongchun Zuo (IEEE Access, 2020)

ICTC-RAAC: An improved web predictor for identifying the types of ion channel-targeted conotoxins by using reduced amino acid cluster descriptors. - Zijie Sun; Shenghui Huang; Lei Zheng; Pengfei Liang; Wuritu Yang; Yongchun Zuo (Comput. Biol. Chem., 2020)

HelPredictor models single-cell transcriptome to predict human embryo lineage allocation. - Pengfei Liang; Lei Zheng; Chunshen Long; Wuritu Yang; Lei Yang; Yongchun Zuo (Briefings Bioinform., 2021)

Modular arrangements of sequence motifs determine the functional diversity of KDM proteins. - Zerong Wang; Dongyang Liu; Baofang Xu; Ruixia Tian; Yongchun Zuo (Briefings Bioinform., 2021)

Immune cell infiltration-based signature for prognosis and immunogenomic analysis in breast cancer. - Shiyuan Wang; Qi Zhang; Chunlu Yu; Yiyin Cao; Yongchun Zuo; Lei Yang (Briefings Bioinform., 2021)

RaacLogo: a new sequence logo generator by using reduced amino acid clusters. - Lei Zheng; Dongyang Liu; Wuritu Yang; Lei Yang; Yongchun Zuo (Briefings Bioinform., 2021)

eHSCPr discriminating the cell identity involved in endothelial to hematopoietic transition. - Hao Wang 109; Pengfei Liang; Lei Zheng; Chunshen Long; Hanshuang Li; Yongchun Zuo (Bioinform., 2021)

ANPrAod: Identify Antioxidant Proteins by Fusing Amino Acid Clustering Strategy and N -Peptide Combination. - Qilemuge Xi; Hao Wang 109; Liuxi Yi; Jian Zhou; Yuchao Liang; Xiaoqing Zhao; Yongchun Zuo (Comput. Math. Methods Medicine, 2021)

Clinical significance and immunogenomic landscape analyses of the immune cell signature based prognostic model for patients with breast cancer. - Shiyuan Wang; Yuqiang Xiong; Qi Zhang; Dongqing Su; Chunlu Yu; Yiyin Cao; Yi Pan; Qianzi Lu; Yongchun Zuo; Lei Yang (Briefings Bioinform., 2021)

iProbiotics: a machine learning platform for rapid identification of probiotic properties from whole-genome primary sequences. - Yu Sun; Haicheng Li; Lei Zheng; Jinzhao Li; Yan Hong; Pengfei Liang; Lai-Yu Kwok; Yongchun Zuo; Wenyi Zhang 004; Heping Zhang (Briefings Bioinform., 2022)

RaacFold: a webserver for 3D visualization and analysis of protein structure by using reduced amino acid alphabets. - Lei Zheng; Dongyang Liu; Yuan Alex Li; Siqi Yang; Yuchao Liang; Yongqiang Xing; Yongchun Zuo (Nucleic Acids Res., 2022)

EmAtlas: a comprehensive atlas for exploring spatiotemporal activation in mammalian embryogenesis. - Lei Zheng; Pengfei Liang; Chunshen Long; Haicheng Li; Hanshuang Li; Yuchao Liang; Xiang He; Qilemuge Xi; Yongqiang Xing; Yongchun Zuo (Nucleic Acids Res., 2023)

A random forest-based metabolic risk model to assess the prognosis and metabolism-related drug targets in ovarian cancer. - Haoxin Zhang; Meng Chi; Dongqing Su; Yuqiang Xiong; Haodong Wei; Yao Yu; Yongchun Zuo; Lei Yang (Comput. Biol. Medicine, 2023)

A computational framework of routine test data for the cost-effective chronic disease prediction. - Mingzhu Liu; Jian Zhou; Qilemuge Xi; Yuchao Liang; Haicheng Li; Pengfei Liang; Yuting Guo; Ming Liu; Temuqile Temuqile; Lei Yang; Yongchun Zuo (Briefings Bioinform., 2023)

Integrating somatic mutation profiles with structural deep clustering network for metabolic stratification in pancreatic cancer: a comprehensive analysis of prognostic and genomic landscapes. - Min Zou; Honghao Li; Dongqing Su; Yuqiang Xiong; Haodong Wei; Shiyuan Wang; Hongmei Sun; Tao Wang; Qilemuge Xi; Yongchun Zuo; Lei Yang (Briefings Bioinform., 2023)

Structural deep clustering network for stratification of breast cancer patients through integration of somatic mutation profiles. - Dongqing Su; Yuqiang Xiong; Shiyuan Wang; Haodong Wei; Jiawei Ke; Honghao Li; Tao Wang; Yongchun Zuo; Lei Yang (Comput. Methods Programs Biomed., 2023)

SpaNCMG: improving spatial domains identification of spatial transcriptomics using neighborhood-complementary mixed-view graph convolutional network. - Zhihao Si; Hanshuang Li; Wenjing Shang; Yanan Zhao; Lingjiao Kong; Chunshen Long; Yongchun Zuo; Zhenxing Feng (Briefings Bioinform., 2024)

Integrated deep learning model for automatic detection and classification of stenosis in coronary angiography. - Tao Wang; Xiaojun Su; Yuchao Liang; Xu Luo; Xiao Hu; Ting Xia; Xuebin Ma; Yongchun Zuo; Huilin Xia; Lei Yang (Comput. Biol. Chem., 2024)

Chromatin region binning of gene expression for improving embryo cell subtype identification. - Pengfei Liang; Hanshuang Li; Chunshen Long; Mingzhu Liu; Jian Zhou; Yongchun Zuo (Comput. Biol. Medicine, 2024)

Recent advances in deep learning for protein-protein interaction: a review. - Jiafu Cui; Siqi Yang; Litai Yi; Qilemuge Xi; Dezhi Yang; Yongchun Zuo (BioData Min., 2025)

Refining cell subpopulation identification and cell fate mapping using cell energy. - Chunshen Long; Hanshuang Li; Zhifang Li; Jia Zhang; Qilemuge Xi; Yongchun Zuo (Expert Syst. Appl., 2026)