Run Probability of High-Order Seed Patterns and its Applications to Finding Good Transition Seeds. - Jialiang Yang; Louxin Zhang (APBC, 2008)

Run Probabilities of Seed-Like Patterns and Identifying Good Transition Seeds. - Jialiang Yang; Louxin Zhang (J. Comput. Biol., 2008)

New methods to measure residues coevolution in proteins. - Hongyun Gao; Yongchao Dou; Jialiang Yang; Jun Wang (BMC Bioinform., 2011)

Analysis on the reconstruction accuracy of the Fitch method for inferring ancestral states. - Jialiang Yang; Jun Li 068; Liuhuan Dong; Stefan Grünewald (BMC Bioinform., 2011)

AntigenMap 3D: an online antigenic cartography resource. - J. Lamar Barnett; Jialiang Yang; Zhipeng Cai; Tong Zhang 001; Xiu-Feng Wan (Bioinform., 2012)

BinAligner: a heuristic method to align biological networks. - Jialiang Yang; Jun Li 068; Stefan Grünewald; Xiu-Feng Wan (BMC Bioinform., 2013)

Quartet-based methods to reconstruct phylogenetic networks. - Jialiang Yang; Stefan Grünewald; Yifei Xu; Xiu-Feng Wan (BMC Syst. Biol., 2014)

Integrative random forest for gene regulatory network inference. - Francesca Petralia; Pei Wang 014; Jialiang Yang; Zhidong Tu (Bioinform., 2015)

Identify Key Sequence Features to Improve CRISPR sgRNA Efficacy. - Lei Chen 007; Shaopeng Wang; Yu-Hang Zhang; Jiarui Li; Zhi-Hao Xing; Jialiang Yang; Tao Huang 004; Yu-Dong Cai 001 (IEEE Access, 2017)

Matrix completion with side information and its applications in predicting the antigenicity of influenza viruses. - Li Huang; Xianhong Li; Pengfei Guo; Yuhua Yao; Bo Liao; Weiwei Zhang; Fayou Wang; Jiasheng Yang; Yulong Zhao; Hailiang Sun 001; Pingan He 001; Jialiang Yang (Bioinform., 2017)

Improved DNA-Binding Protein Identification by Incorporating Evolutionary Information Into the Chou's PseAAC. - Xiangzheng Fu; Wen Zhu; Bo Liao; Lijun Cai; Lihong Peng; Jialiang Yang (IEEE Access, 2018)

Community Detection and Visualization in Complex Network by the Density-Canopy-Kmeans Algorithm and MDS Embedding. - Manzhi Li; Hongtao Wang; Haixia Long; Ju Xiang; Bo Wang; Junlin Xu; Jialiang Yang (IEEE Access, 2019)

IIRWR: Internal Inclined Random Walk With Restart for LncRNA-Disease Association Prediction. - Lei Wang 069; Yubin Xiao; Jiechen Li; Xiang Feng; Qian Li; Jialiang Yang (IEEE Access, 2019)

FCMDAP: using miRNA family and cluster information to improve the prediction accuracy of disease related miRNAs. - Xiaoying Li; Yaping Lin; Changlong Gu; Jialiang Yang (BMC Syst. Biol., 2019)

Robust subspace clustering via symmetry constrained latent low rank representation with converted nuclear norm. - Xian Fang; Zhixin Tie; Feiyang Song; Jialiang Yang (Neurocomputing, 2019)

A new resource allocation strategy based on the relationship between subproblems for MOEA/D. - Peng Wang 035; Wen Zhu; Haihua Liu; Bo Liao; Lijun Cai; Xiaohui Wei 001; Siqi Ren; Jialiang Yang (Inf. Sci., 2019)

Based on Microblog Emotions Analysis to Study the Impact of the Sade Event on the Chinese and South Korean Stock Markets. - Jialiang Yang; Chuangrong Liang (ICEME, 2020)

Identification of Human LncRNA-Disease Association by Fast Kernel Learning-Based Kronecker Regularized Least Squares. - Wen Li 009; Shulin Wang; Junlin Xu; Jialiang Yang (ICIC (2), 2020)

Prioritizing Human Microbe-Disease Associations Utilizing a Node-Information-Based Link Propagation Method. - Li Peng; Dong Zhou 001; Wei Liu 049; Liqian Zhou; Lei Wang 069; Bihai Zhao; Jialiang Yang (IEEE Access, 2020)

LRMCMDA: Predicting miRNA-Disease Association by Integrating Low-Rank Matrix Completion With miRNA and Disease Similarity Information. - Junlin Xu; Wen Zhu; Lijun Cai; Bo Liao; Yajie Meng; Ju Xiang; Dawei Yuan; Geng Tian; Jialiang Yang (IEEE Access, 2020)

IMDAILM: Inferring miRNA-Disease Association by Integrating lncRNA and miRNA Data. - Yuhua Yao; Binbin Ji; Sihong Shi; Junlin Xu; Xiaofang Xiao; Enchao Yu; Bo Liao; Jialiang Yang (IEEE Access, 2020)

CMF-Impute: an accurate imputation tool for single-cell RNA-seq data. - Junlin Xu; Lijun Cai; Bo Liao; Wen Zhu; Jialiang Yang (Bioinform., 2020)

A Novel Hybrid Feature Selection and Ensemble Learning Framework for Unbalanced Cancer Data Diagnosis With Transcriptome and Functional Proteomic. - Xianfang Tang; Lijun Cai; Yajie Meng; Changlong Gu; Jialiang Yang; Jiasheng Yang (IEEE Access, 2021)

A Streamlined scRNA-Seq Data Analysis Framework Based on Improved Sparse Subspace Clustering. - Jujuan Zhuang; Lingyu Cui; Tianqi Qu; Changjing Ren; Junlin Xu; Tianbao Li; Geng Tian; Jialiang Yang (IEEE Access, 2021)

Why low-carbon technological innovation hardly promote energy efficiency of China? - Based on spatial econometric method and machine learning. - Wenchao Li; Jian Xu; Dragana Ostic; Jialiang Yang; Rongdi Guan; Lin Zhu (Comput. Ind. Eng., 2021)

Relationship between consumer participation behaviors and consumer stickiness on mobile short video social platform under the development of ICT: based on value co-creation theory perspective. - Jifan Ren; Jialiang Yang; Mengyang Zhu; Salman Majeed (Inf. Technol. Dev., 2021)

Help Transformer Improve Performance in Automatic Mathematics Word Problem-Solving. - Dong Liu; Guanfang Wang; Jialiang Yang (IEEE Access, 2022)

DGHNE: network enhancement-based method in identifying disease-causing genes through a heterogeneous biomedical network. - Binsheng He; Kun Wang; Ju Xiang; Pingping Bing; Min Tang; Geng Tian; Cheng Guo 010; Miao Xu; Jialiang Yang (Briefings Bioinform., 2022)

A weighted bilinear neural collaborative filtering approach for drug repositioning. - Yajie Meng; Changcheng Lu; Min Jin; Junlin Xu; Xiangxiang Zeng; Jialiang Yang (Briefings Bioinform., 2022)

ICSDA: a multi-modal deep learning model to predict breast cancer recurrence and metastasis risk by integrating pathological, clinical and gene expression data. - Yuhua Yao; Yaping Lv; Ling Tong; Yuebin Liang; Shuxue Xi; Binbin Ji; Guanglu Zhang; Ling Li; Geng Tian; Min Tang; Xiyue Hu; Shijun Li; et al. (Briefings Bioinform., 2022)

Predicting breast cancer recurrence and metastasis risk by integrating color and texture features of histopathological images and machine learning technologies. - Xinyu Liu; Peng Yuan; Ruolin Li; Dejun Zhang; Junda An; Jie Ju; Chenyang Liu; Fuquan Ren; Rui Hou 006; Yushuang Li; Jialiang Yang (Comput. Biol. Medicine, 2022)

Evaluating the performance of dropout imputation and clustering methods for single-cell RNA sequencing data. - Junlin Xu; Lingyu Cui; Jujuan Zhuang; Yajie Meng; Pingping Bing; Binsheng He; Geng Tian; Choi Kwok Pui; Taoyang Wu; Bing Wang; Jialiang Yang (Comput. Biol. Medicine, 2022)

A multi-omics machine learning framework in predicting the survival of colorectal cancer patients. - Min Yang; Huandong Yang; Lei Ji 006; Xuan Hu; Geng Tian; Bing Wang 004; Jialiang Yang (Comput. Biol. Medicine, 2022)

Predicting colorectal cancer tumor mutational burden from histopathological images and clinical information using multi-modal deep learning. - Kaimei Huang; Binghu Lin; Jinyang Liu; Yankun Liu; Jingwu Li; Geng Tian; Jialiang Yang (Bioinform., 2022)

Visible Near-Infrared Photodetection Based on Ta2NiSe5/WSe2 van der Waals Heterostructures. - Pan Xiao; Shi Zhang; Libo Zhang; Jialiang Yang; Chaofan Shi; Li Han; Weiwei Tang; Bairen Zhu (Sensors, 2023)

MLSpatial: A machine-learning method to reconstruct the spatial distribution of cells from scRNA-seq by extracting spatial features. - Mengbo Zhu; Changjun Li; Kebo Lv; Hongzhe Guo; Rui Hou 006; Geng Tian; Jialiang Yang (Comput. Biol. Medicine, 2023)

Drug repositioning based on weighted local information augmented graph neural network. - Yajie Meng; Yi Wang; Junlin Xu; Changcheng Lu; Xianfang Tang; Tao Peng; Ben-gong Zhang; Geng Tian; Jialiang Yang (Briefings Bioinform., 2023)

Pan-cancer analyses reveal the stratification of patient prognosis by viral composition in tumor tissues. - Yumeng Zhang; Lei Ji 006; Huakai Wen; Yuwen Chu; Xingwei Wang 001; Geng Tian; Yuhua Yao; Jialiang Yang (Comput. Biol. Medicine, 2023)

Unveiling the distinctive variations in multi-omics triggered by TP53 mutation in lung cancer subtypes: An insight from interaction among intratumoral microbiota, tumor microenvironment, and pathology. - Shanhe Tong; Kenan Huang; Weipeng Xing; Yuwen Chu; Chuanqi Nie; Lei Ji 006; Wenyan Wang; Geng Tian; Bing Wang 004; Jialiang Yang (Comput. Biol. Chem., 2024)

Drug repositioning based on tripartite cross-network embedding and graph convolutional network. - Pan Zeng; Bofei Zhang; Aohang Liu; Yajie Meng; Xianfang Tang; Jialiang Yang; Junlin Xu (Expert Syst. Appl., 2024)

Single-cell RNA-seq reveals the metabolic status of immune cells response to immunotherapy in triple-negative breast cancer. - Pei-Wen Liu; Jun Lin; Rui Hou; Zhe Cai; Yue Gong; Ping-An He 001; Jialiang Yang (Comput. Biol. Medicine, 2024)

MMsurv: a multimodal multi-instance multi-cancer survival prediction model integrating pathological images, clinical information, and sequencing data. - Hailong Yang; Jia Wang; Wenyan Wang; Shufang Shi; Lijing Liu; Yuhua Yao; Geng Tian; Peizhen Wang; Jialiang Yang (Briefings Bioinform., 2025)

Prediction of colorectal cancer microsatellite instability and tumor mutational burden from histopathological images using multiple instance learning. - Wenyan Wang; Wei Shi; Chuanqi Nie; Weipeng Xing; Hailong Yang; Feng Li; Jinyang Liu; Geng Tian; Bing Wang; Jialiang Yang (Biomed. Signal Process. Control., 2025)

Adaptive debiasing learning for drug repositioning. - Yajie Meng; Yi Wang; Xinrong Hu; Changcheng Lu; Xianfang Tang; Feifei Cui; Pan Zeng; Yuhua Yao; Jialiang Yang; Junlin Xu (J. Biomed. Informatics, 2025)

DO-GMA: An End-to-End Drug-Target Interaction Identification Framework with a Depthwise Overparameterized Convolutional Network and the Gated Multihead Attention Mechanism. - Lihong Peng; Jiale Mao; Guohua Huang; Guosheng Han; Xin Liu 116; Wen Liao; Geng Tian; Jialiang Yang (J. Chem. Inf. Model., 2025)

Enhancing Drug Repositioning Through Local Interactive Learning With Bilinear Attention Networks. - Xianfang Tang; Chang Zhou; Changcheng Lu; Yajie Meng; Junlin Xu; Xinrong Hu; Geng Tian; Jialiang Yang (IEEE J. Biomed. Health Informatics, 2025)

How Pricing and Promotion Strategies Influence Customer Satisfaction in Sustainable Fashion. - Jialiang Yang; Hai Guo; Shaobo Wei (Int. J. Electron. Commer., 2025)

SWMA-UNet: Multi-Path Attention Network for Improved Medical Image Segmentation. - Xianfang Tang; Jincan Li; Qianrui Liu; Chang Zhou; Pan Zeng; Yajie Meng; Junlin Xu; Geng Tian; Jialiang Yang (IEEE J. Biomed. Health Informatics, 2025)

CDPMF-DDA: contrastive deep probabilistic matrix factorization for drug-disease association prediction. - Xianfang Tang; Yawen Hou; Yajie Meng; Zhaojing Wang; Changcheng Lu; Juan Lv; Xinrong Hu; Junlin Xu; Jialiang Yang (BMC Bioinform., 2025)