Jialiang Yang

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 33

Top Topics

Gene Expression Data

Histopathological Images

Top Venues

Comput. Biol. Medicine

Briefings Bioinform.

Publications

Pei-Wen Liu, Jun Lin, Rui Hou, Zhe Cai, Yue Gong, Ping-An He, Jialiang Yang
Single-cell RNA-seq reveals the metabolic status of immune cells response to immunotherapy in triple-negative breast cancer. Comput. Biol. Medicine 169 (2024)
Pan Zeng, Bofei Zhang, Aohang Liu, Yajie Meng, Xianfang Tang, Jialiang Yang, Junlin Xu
Drug repositioning based on tripartite cross-network embedding and graph convolutional network. Expert Syst. Appl. 252 (2024)
Mengbo Zhu, Changjun Li, Kebo Lv, Hongzhe Guo, Rui Hou, Geng Tian, Jialiang Yang
MLSpatial: A machine-learning method to reconstruct the spatial distribution of cells from scRNA-seq by extracting spatial features. Comput. Biol. Medicine 159 (2023)
Yumeng Zhang, Lei Ji, Huakai Wen, Yuwen Chu, Xingwei Wang, Geng Tian, Yuhua Yao, Jialiang Yang
Pan-cancer analyses reveal the stratification of patient prognosis by viral composition in tumor tissues. Comput. Biol. Medicine 167 (2023)
Yajie Meng, Yi Wang, Junlin Xu, Changcheng Lu, Xianfang Tang, Tao Peng, Bengong Zhang, Geng Tian, Jialiang Yang
Drug repositioning based on weighted local information augmented graph neural network. Briefings Bioinform. 25 (1) (2023)
Pan Xiao, Shi Zhang, Libo Zhang, Jialiang Yang, Chaofan Shi, Li Han, Weiwei Tang, Bairen Zhu
Visible Near-Infrared Photodetection Based on Ta2NiSe5/WSe2 van der Waals Heterostructures. Sensors 23 (9) (2023)
Min Yang, Huandong Yang, Lei Ji, Xuan Hu, Geng Tian, Bing Wang, Jialiang Yang
A multi-omics machine learning framework in predicting the survival of colorectal cancer patients. Comput. Biol. Medicine 146 (2022)
Yuhua Yao, Yaping Lv, Ling Tong, Yuebin Liang, Shuxue Xi, Binbin Ji, Guanglu Zhang, Ling Li, Geng Tian, Min Tang, Xiyue Hu, Shijun Li, Jialiang Yang
ICSDA: a multi-modal deep learning model to predict breast cancer recurrence and metastasis risk by integrating pathological, clinical and gene expression data. Briefings Bioinform. 23 (6) (2022)
Xinyu Liu, Peng Yuan, Ruolin Li, Dejun Zhang, Junda An, Jie Ju, Chenyang Liu, Fuquan Ren, Rui Hou, Yushuang Li, Jialiang Yang
Predicting breast cancer recurrence and metastasis risk by integrating color and texture features of histopathological images and machine learning technologies. Comput. Biol. Medicine 146 (2022)
Kaimei Huang, Binghu Lin, Jinyang Liu, Yankun Liu, Jingwu Li, Geng Tian, Jialiang Yang
Predicting colorectal cancer tumor mutational burden from histopathological images and clinical information using multi-modal deep learning. Bioinform. 38 (22) (2022)
Binsheng He, Kun Wang, Ju Xiang, Pingping Bing, Min Tang, Geng Tian, Cheng Guo, Miao Xu, Jialiang Yang
DGHNE: network enhancement-based method in identifying disease-causing genes through a heterogeneous biomedical network. Briefings Bioinform. 23 (6) (2022)
Dong Liu, Guanfang Wang, Jialiang Yang
Help Transformer Improve Performance in Automatic Mathematics Word Problem-Solving. IEEE Access 10 (2022)
Junlin Xu, Lingyu Cui, Jujuan Zhuang, Yajie Meng, Pingping Bing, Binsheng He, Geng Tian, Choi Kwok Pui, Taoyang Wu, Bing Wang, Jialiang Yang
Evaluating the performance of dropout imputation and clustering methods for single-cell RNA sequencing data. Comput. Biol. Medicine 146 (2022)
Yajie Meng, Changcheng Lu, Min Jin, Junlin Xu, Xiangxiang Zeng, Jialiang Yang
A weighted bilinear neural collaborative filtering approach for drug repositioning. Briefings Bioinform. 23 (2) (2022)
Jujuan Zhuang, Lingyu Cui, Tianqi Qu, Changjing Ren, Junlin Xu, Tianbao Li, Geng Tian, Jialiang Yang
A Streamlined scRNA-Seq Data Analysis Framework Based on Improved Sparse Subspace Clustering. IEEE Access 9 (2021)
Wenchao Li, Jian Xu, Dragana Ostic, Jialiang Yang, Rongdi Guan, Lin Zhu
Why low-carbon technological innovation hardly promote energy efficiency of China? - Based on spatial econometric method and machine learning. Comput. Ind. Eng. 160 (2021)
Junlin Xu, Lijun Cai, Bo Liao, Wen Zhu, Jialiang Yang
CMF-Impute: an accurate imputation tool for single cell RNA-seq data. Bioinform. 36 (22-23) (2021)
Xianfang Tang, Lijun Cai, Yajie Meng, Changlong Gu, Jialiang Yang, Jiasheng Yang
A Novel Hybrid Feature Selection and Ensemble Learning Framework for Unbalanced Cancer Data Diagnosis With Transcriptome and Functional Proteomic. IEEE Access 9 (2021)
Jifan Ren, Jialiang Yang, Mengyang Zhu, Salman Majeed
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. Inf. Technol. Dev. 27 (4) (2021)
Li Peng, Dong Zhou, Wei Liu, Liqian Zhou, Lei Wang, Bihai Zhao, Jialiang Yang
Prioritizing Human Microbe-Disease Associations Utilizing a Node-Information-Based Link Propagation Method. IEEE Access 8 (2020)
Jialiang Yang, Chuangrong Liang
Based on Microblog Emotions Analysis to Study the Impact of the Sade Event on the Chinese and South Korean Stock Markets. ICEME (2020)
Junlin Xu, Wen Zhu, Lijun Cai, Bo Liao, Yajie Meng, Ju Xiang, Dawei Yuan, Geng Tian, Jialiang Yang
LRMCMDA: Predicting miRNA-Disease Association by Integrating Low-Rank Matrix Completion With miRNA and Disease Similarity Information. IEEE Access 8 (2020)
Yuhua Yao, Bin-Bin Jia, Sihong Shi, Junlin Xu, Xiaofang Xiao, Enchao Yu, Bo Liao, Jialiang Yang
IMDAILM: Inferring miRNA-Disease Association by Integrating lncRNA and miRNA Data. IEEE Access 8 (2020)
Wen Li, Shulin Wang, Junlin Xu, Jialiang Yang
Identification of Human LncRNA-Disease Association by Fast Kernel Learning-Based Kronecker Regularized Least Squares. ICIC (2) (2020)
Junlin Xu, Lijun Cai, Bo Liao, Wen Zhu, Jialiang Yang
CMF-Impute: an accurate imputation tool for single-cell RNA-seq data. Bioinform. 36 (10) (2020)
Peng Wang, Wen Zhu, Haihua Liu, Bo Liao, Lijun Cai, Xiaohui Wei, Siqi Ren, Jialiang Yang
A new resource allocation strategy based on the relationship between subproblems for MOEA/D. Inf. Sci. 501 (2019)
Xiaoying Li, Yaping Lin, Changlong Gu, Jialiang Yang
FCMDAP: using miRNA family and cluster information to improve the prediction accuracy of disease related miRNAs. BMC Syst. Biol. (2) (2019)
Manzhi Li, Hongtao Wang, Haixia Long, Ju Xiang, Bo Wang, Junlin Xu, Jialiang Yang
Community Detection and Visualization in Complex Network by the Density-Canopy-Kmeans Algorithm and MDS Embedding. IEEE Access 7 (2019)
Lei Wang, Yubin Xiao, Jiechen Li, Xiang Feng, Qian Li, Jialiang Yang
IIRWR: Internal Inclined Random Walk With Restart for LncRNA-Disease Association Prediction. IEEE Access 7 (2019)
Xian Fang, Zhixin Tie, Feiyang Song, Jialiang Yang
Robust subspace clustering via symmetry constrained latent low rank representation with converted nuclear norm. Neurocomputing 340 (2019)
Xiangzheng Fu, Wen Zhu, Bo Liao, Lijun Cai, Lihong Peng, Jialiang Yang
Improved DNA-Binding Protein Identification by Incorporating Evolutionary Information Into the Chou's PseAAC. IEEE Access 6 (2018)
Li Huang, Xianhong Li, Pengfei Guo, Yuhua Yao, Bo Liao, Weiwei Zhang, Fayou Wang, Jiasheng Yang, Yulong Zhao, Hailiang Sun, Pingan He, Jialiang Yang
Matrix completion with side information and its applications in predicting the antigenicity of influenza viruses. Bioinform. 33 (20) (2017)
Lei Chen, Shaopeng Wang, Yu-Hang Zhang, Jiarui Li, Zhi-Hao Xing, Jialiang Yang, Tao Huang, Yu-Dong Cai
Identify Key Sequence Features to Improve CRISPR sgRNA Efficacy. IEEE Access 5 (2017)
Francesca Petralia, Pei Wang, Jialiang Yang, Zhidong Tu
Integrative random forest for gene regulatory network inference. Bioinform. 31 (12) (2015)
Jialiang Yang, Stefan Grünewald, Yifei Xu, Xiu-Feng Wan
Quartet-based methods to reconstruct phylogenetic networks. BMC Syst. Biol. 8 (2014)
Jialiang Yang, Jun Li, Stefan Grünewald, Xiu-Feng Wan
BinAligner: a heuristic method to align biological networks. BMC Bioinform. 14 (S-14) (2013)
J. Lamar Barnett, Jialiang Yang, Zhipeng Cai, Tong Zhang, Xiu-Feng Wan
AntigenMap 3D: an online antigenic cartography resource. Bioinform. 28 (9) (2012)
Hongyun Gao, Yongchao Dou, Jialiang Yang, Jun Wang
New methods to measure residues coevolution in proteins. BMC Bioinform. 12 (2011)
Jialiang Yang, Jun Li, Liuhuan Dong, Stefan Grünewald
Analysis on the reconstruction accuracy of the Fitch method for inferring ancestral states. BMC Bioinform. 12 (2011)
Jialiang Yang, Louxin Zhang
Run Probabilities of Seed-Like Patterns and Identifying Good Transition Seeds. J. Comput. Biol. 15 (10) (2008)
Jialiang Yang, Louxin Zhang
Run Probability of High-Order Seed Patterns and its Applications to Finding Good Transition Seeds. APBC (2008)