Jialiang Yang
Orcid: 0000-0003-4689-8672
According to our database1,
Jialiang Yang
authored at least 39 papers
between 2008 and 2024.
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Bibliography
2024
Single-cell RNA-seq reveals the metabolic status of immune cells response to immunotherapy in triple-negative breast cancer.
Comput. Biol. Medicine, February, 2024
2023
Pan-cancer analyses reveal the stratification of patient prognosis by viral composition in tumor tissues.
Comput. Biol. Medicine, December, 2023
Drug repositioning based on weighted local information augmented graph neural network.
Briefings Bioinform., November, 2023
MLSpatial: A machine-learning method to reconstruct the spatial distribution of cells from scRNA-seq by extracting spatial features.
Comput. Biol. Medicine, June, 2023
Visible Near-Infrared Photodetection Based on Ta2NiSe5/WSe2 van der Waals Heterostructures.
Sensors, 2023
2022
Predicting colorectal cancer tumor mutational burden from histopathological images and clinical information using multi-modal deep learning.
Bioinform., November, 2022
A multi-omics machine learning framework in predicting the survival of colorectal cancer patients.
Comput. Biol. Medicine, 2022
Evaluating the performance of dropout imputation and clustering methods for single-cell RNA sequencing data.
Comput. Biol. Medicine, 2022
Predicting breast cancer recurrence and metastasis risk by integrating color and texture features of histopathological images and machine learning technologies.
Comput. Biol. Medicine, 2022
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., 2022
Briefings Bioinform., 2022
DGHNE: network enhancement-based method in identifying disease-causing genes through a heterogeneous biomedical network.
Briefings Bioinform., 2022
IEEE Access, 2022
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.
Inf. Technol. Dev., 2021
Why low-carbon technological innovation hardly promote energy efficiency of China? - Based on spatial econometric method and machine learning.
Comput. Ind. Eng., 2021
Bioinform., 2021
A Streamlined scRNA-Seq Data Analysis Framework Based on Improved Sparse Subspace Clustering.
IEEE Access, 2021
A Novel Hybrid Feature Selection and Ensemble Learning Framework for Unbalanced Cancer Data Diagnosis With Transcriptome and Functional Proteomic.
IEEE Access, 2021
2020
IEEE Access, 2020
LRMCMDA: Predicting miRNA-Disease Association by Integrating Low-Rank Matrix Completion With miRNA and Disease Similarity Information.
IEEE Access, 2020
Prioritizing Human Microbe-Disease Associations Utilizing a Node-Information-Based Link Propagation Method.
IEEE Access, 2020
Identification of Human LncRNA-Disease Association by Fast Kernel Learning-Based Kronecker Regularized Least Squares.
Proceedings of the Intelligent Computing Theories and Application, 2020
Based on Microblog Emotions Analysis to Study the Impact of the Sade Event on the Chinese and South Korean Stock Markets.
Proceedings of the ICEME '20: The 11th International Conference on E-business, 2020
2019
A new resource allocation strategy based on the relationship between subproblems for MOEA/D.
Inf. Sci., 2019
Robust subspace clustering via symmetry constrained latent low rank representation with converted nuclear norm.
Neurocomputing, 2019
FCMDAP: using miRNA family and cluster information to improve the prediction accuracy of disease related miRNAs.
BMC Syst. Biol., 2019
IIRWR: Internal Inclined Random Walk With Restart for LncRNA-Disease Association Prediction.
IEEE Access, 2019
Community Detection and Visualization in Complex Network by the Density-Canopy-Kmeans Algorithm and MDS Embedding.
IEEE Access, 2019
2018
Improved DNA-Binding Protein Identification by Incorporating Evolutionary Information Into the Chou's PseAAC.
IEEE Access, 2018
2017
Matrix completion with side information and its applications in predicting the antigenicity of influenza viruses.
Bioinform., 2017
2015
2014
2013
2012
2011
Analysis on the reconstruction accuracy of the Fitch method for inferring ancestral states.
BMC Bioinform., 2011
2008
J. Comput. Biol., 2008
Run Probability of High-Order Seed Patterns and its Applications to Finding Good Transition Seeds.
Proceedings of the 6th Asia-Pacific Bioinformatics Conference, 2008