Junfeng Xia

Orcid: 0000-0003-3024-1705

According to our database1, Junfeng Xia authored at least 78 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
A Novel Skip-Connection Strategy by Fusing Spatial and Channel Wise Features for Multi-Region Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, September, 2024

Effect Predictor of Driver Synonymous Mutations Based on Multi-Feature Fusion and Iterative Feature Representation Learning.
IEEE J. Biomed. Health Informatics, February, 2024

Evaluation of Time-Varying Stress in Prestressed Tendons Based on the Resonance-Enhanced Magnetoelastic Method.
IEEE Trans. Instrum. Meas., 2024

scVSC: Deep Variational Subspace Clustering for Single-Cell Transcriptome Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

DRExplainer: Quantifiable Interpretability in Drug Response Prediction with Directed Graph Convolutional Network.
CoRR, 2024

Uncovering cognitive taskonomy through transfer learning in masked autoencoder-based fMRI reconstruction.
CoRR, 2024

DeepFGRN: inference of gene regulatory network with regulation type based on directed graph embedding.
Briefings Bioinform., 2024

2023
PhaGAA: an integrated web server platform for phage genome annotation and analysis.
Bioinform., March, 2023

Deleterious synonymous mutation identification based on selective ensemble strategy.
Briefings Bioinform., January, 2023

scDCCA: deep contrastive clustering for single-cell RNA-seq data based on auto-encoder network.
Briefings Bioinform., January, 2023

frDSM: An Ensemble Predictor With Effective Feature Representation for Deleterious Synonymous Mutation in Human Genome.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

CNNGRN: A Convolutional Neural Network-Based Method for Gene Regulatory Network Inference From Bulk Time-Series Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022
PrMFTP: Multi-functional therapeutic peptides prediction based on multi-head self-attention mechanism and class weight optimization.
PLoS Comput. Biol., September, 2022

DPProm: A Two-Layer Predictor for Identifying Promoters and Their Types on Phage Genome Using Deep Learning.
IEEE J. Biomed. Health Informatics, 2022

An Ensemble Framework for Improving the Prediction of Deleterious Synonymous Mutation.
IEEE Trans. Circuits Syst. Video Technol., 2022

Extra Trees Method for Predicting LncRNA-Disease Association Based On Multi-Layer Graph Embedding Aggregation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

dbBIP: a comprehensive bipolar disorder database for genetic research.
Database J. Biol. Databases Curation, 2022

scHFC: a hybrid fuzzy clustering method for single-cell RNA-seq data optimized by natural computation.
Briefings Bioinform., 2022

Identifying multi-functional bioactive peptide functions using multi-label deep learning.
Briefings Bioinform., 2022

An Ensemble Framework Integrating Whole Slide Pathological Images and miRNA Data to Predict Radiosensitivity of Breast Cancer Patients.
Proceedings of the Intelligent Computing Theories and Application, 2022

2021
A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

BBPpred: Sequence-Based Prediction of Blood-Brain Barrier Peptides with Feature Representation Learning and Logistic Regression.
J. Chem. Inf. Model., 2021

Double matrix completion for circRNA-disease association prediction.
BMC Bioinform., 2021

An improved DNA-binding hot spot residues prediction method by exploring interfacial neighbor properties.
BMC Bioinform., 2021

Identification of driver genes based on gene mutational effects and network centrality.
BMC Bioinform., 2021

PredCID: prediction of driver frameshift indels in human cancer.
Briefings Bioinform., 2021

GAERF: predicting lncRNA-disease associations by graph auto-encoder and random forest.
Briefings Bioinform., 2021

Erratum: usDSM: a novel method for deleterious synonymous mutation prediction using undersampling scheme.
Briefings Bioinform., 2021

usDSM: a novel method for deleterious synonymous mutation prediction using undersampling scheme.
Briefings Bioinform., 2021

2020
Prediction of hot spots in protein-DNA binding interfaces based on supervised isometric feature mapping and extreme gradient boosting.
BMC Bioinform., 2020

A feature-based approach to predict hot spots in protein-DNA binding interfaces.
Briefings Bioinform., 2020

dbCPM: a manually curated database for exploring the cancer passenger mutations.
Briefings Bioinform., 2020

Comparison and integration of computational methods for deleterious synonymous mutation prediction.
Briefings Bioinform., 2020

Predicting lncRNA-disease Association based on Extreme Gradient Boosting.
Proceedings of the ICBBB 2020: 10th International Conference on Bioscience, 2020

2019
Computational Approaches for Modeling Signal Transduction Networks.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 2, 2019

The 2017 Network Tools and Applications in Biology (NETTAB) workshop: aims, topics and outcomes.
BMC Bioinform., 2019

dbCID: a manually curated resource for exploring the driver indels in human cancer.
Briefings Bioinform., 2019

SPHot: Prediction of Hot Spots in Protein-RNA Complexes by Protein Sequence Information and Ensemble Classifier.
IEEE Access, 2019

Comprehensive Analysis of Alzheimer's Disease Biologically Candidate Causal Genes Revealed by Function Association Study With GWAS.
IEEE Access, 2019

Sequence-Based Prediction of Hot Spots in Protein-RNA Complexes Using an Ensemble Approach.
Proceedings of the Intelligent Computing Theories and Application, 2019

Discovering Driver Mutation Profiles in Cancer with a Local Centrality Score.
Proceedings of the Intelligent Computing Theories and Application, 2019

Improved Inductive Matrix Completion Method for Predicting MicroRNA-Disease Associations.
Proceedings of the Intelligent Computing Theories and Application, 2019

2018
dbCRSR: a manually curated database for regulation of cancer radiosensitivity.
Database J. Biol. Databases Curation, 2018

Computational Prediction of Driver Missense Mutations in Melanoma.
Proceedings of the Intelligent Computing Theories and Application, 2018

Nucleotide-Based Significance of Somatic Synonymous Mutations for Pan-Cancer.
Proceedings of the Intelligent Computing Theories and Application, 2018

Further Evidence for Role of Promoter Polymorphisms in TNF Gene in Alzheimer's Disease.
Proceedings of the Intelligent Computing Theories and Application, 2018

2017
Cancer Subtype Discovery Based on Integrative Model of Multigenomic Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

DriverFinder: A Gene Length-Based Network Method to Identify Cancer Driver Genes.
Complex., 2017

Investigating Alzheimer's Disease Candidate Genes Based on Combined Network Using Subnetwork Extraction Algorithms.
Proceedings of the Intelligent Computing Theories and Application, 2017

2016
A Sequence-Based Dynamic Ensemble Learning System for Protein Ligand-Binding Site Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Identification of mutated driver pathways in cancer using a multi-objective optimization model.
Comput. Biol. Medicine, 2016

LNDriver: identifying driver genes by integrating mutation and expression data based on gene-gene interaction network.
BMC Bioinform., 2016

CINOEDV: a co-information based method for detecting and visualizing <i>n</i>-order epistatic interactions.
BMC Bioinform., 2016

dbDSM: a manually curated database for deleterious synonymous mutations.
Bioinform., 2016

Srrr-cluster: Using Sparse Reduced-Rank Regression to Optimize iCluster.
Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016

Cancer genes discovery based on integtating transcriptomic data and the impact of gene length.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Automatic classification for field crop insects via multiple-task sparse representation and multiple-kernel learning.
Comput. Electron. Agric., 2015

MGDB: a comprehensive database of genes involved in melanoma.
Database J. Biol. Databases Curation, 2015

Discovery of Ovarian Cancer Candidate Genes Using Protein Interaction Information.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

Prediction of Clinical Drug Response Based on Differential Gene Expression Levels.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

Multi-objective Optimization Method for Identifying Mutated Driver Pathways in Cancer.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

Identification of Colorectal Cancer Candidate Genes Based on Subnetwork Extraction Algorithm.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

2014
Potential Driver Genes Regulated by OncomiRNA Are Associated with Druggability in Pan-Negative Melanoma.
Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014

Tumor Clustering Using Independent Component Analysis and Adaptive Affinity Propagation.
Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014

Comparative Assessment of Data Sets of Protein Interaction Hot Spots Used in the Computational Method.
Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014

2013
Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis.
BMC Bioinform., 2013

Network analysis of gene fusions in human cancer.
BMC Bioinform., 2013

Application of next generation sequencing to human gene fusion detection: computational tools, features and perspectives.
Briefings Bioinform., 2013

Differential coexpression analysis in gene modules level and its application to type 2 diabetes.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Prediction of cytochrome P450 inhibition using ensemble of extreme learning machine.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2011
Virus interactions with human signal transduction pathways.
Int. J. Comput. Biol. Drug Des., 2011

Do cancer proteins really interact strongly in the human protein-protein interaction network?
Comput. Biol. Chem., 2011

Do MicroRNAs Preferentially Target the Genes with Low DNA Methylation Level at the Promoter Region?
Proceedings of the Bio-Inspired Computing and Applications, 2011

2010
Weighted Neighborhood Classifier for the Classification of Imbalanced Tumor Dataset.
J. Circuits Syst. Comput., 2010

APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility.
BMC Bioinform., 2010

Prediction of Protein-Protein Interaction Sites by Using Autocorrelation Descriptor and Support Vector Machine.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2010

2009
A New Source and Receiver Localization Method with Erroneous Receiver Positions.
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009

2007
Inferring Strengths of Protein-Protein Interaction Using Artificial Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2007


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