Jialiang Yang

Orcid: 0000-0003-4689-8672

According to our database1, Jialiang Yang authored at least 40 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

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

Drug repositioning based on tripartite cross-network embedding and graph convolutional network.
Expert Syst. Appl., 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

A weighted bilinear neural collaborative filtering approach for drug repositioning.
Briefings Bioinform., 2022

DGHNE: network enhancement-based method in identifying disease-causing genes through a heterogeneous biomedical network.
Briefings Bioinform., 2022

Help Transformer Improve Performance in Automatic Mathematics Word Problem-Solving.
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

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
CMF-Impute: an accurate imputation tool for single-cell RNA-seq data.
Bioinform., 2020

IMDAILM: Inferring miRNA-Disease Association by Integrating lncRNA and miRNA Data.
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

Identify Key Sequence Features to Improve CRISPR sgRNA Efficacy.
IEEE Access, 2017

2015
Integrative random forest for gene regulatory network inference.
Bioinform., 2015

2014
Quartet-based methods to reconstruct phylogenetic networks.
BMC Syst. Biol., 2014

2013
BinAligner: a heuristic method to align biological networks.
BMC Bioinform., 2013

2012
AntigenMap 3D: an online antigenic cartography resource.
Bioinform., 2012

2011
Analysis on the reconstruction accuracy of the Fitch method for inferring ancestral states.
BMC Bioinform., 2011

New methods to measure residues coevolution in proteins.
BMC Bioinform., 2011

2008
Run Probabilities of Seed-Like Patterns and Identifying Good Transition Seeds.
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


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