Feng Li

Orcid: 0000-0002-5556-3789

Affiliations:
  • Xidian University, School of Computer Science and Technology, Xi'an, China


According to our database1, Feng Li authored at least 37 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
FSCME: A Feature Selection Method Combining Copula Correlation and Maximal Information Coefficient by Entropy Weights.
IEEE J. Biomed. Health Informatics, September, 2024

KFDAE: CircRNA-Disease Associations Prediction Based on Kernel Fusion and Deep Auto-Encoder.
IEEE J. Biomed. Health Informatics, May, 2024

Diagnosis-Guided Deep Subspace Clustering Association Study for Pathogenetic Markers Identification of Alzheimer's Disease Based on Comparative Atlases.
IEEE J. Biomed. Health Informatics, May, 2024

SLGCN: Structure-enhanced line graph convolutional network for predicting drug-disease associations.
Knowl. Based Syst., January, 2024

A feature extraction framework for discovering pan-cancer driver genes based on multi-omics data.
Quant. Biol., 2024

A Fusion Learning Model Based on Deep Learning for Single-Cell RNA Sequencing Data Clustering.
J. Comput. Biol., 2024

A review of recent advances in spatially resolved transcriptomics data analysis.
Neurocomputing, 2024

A framework for scRNA-seq data clustering based on multi-view feature integration.
Biomed. Signal Process. Control., 2024

CPSORCL: A Cooperative Particle Swarm Optimization Method with Random Contrastive Learning for Interactive Feature Selection.
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

SGEGCAE: A Sparse Gating Enhanced Graph Convolutional Autoencoder for Multi-omics Data Integration and Classification.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

2023
NLRRC: A Novel Clustering Method of Jointing Non-Negative LRR and Random Walk Graph Regularized NMF for Single-Cell Type Identification.
IEEE J. Biomed. Health Informatics, October, 2023

MSGCA: Drug-Disease Associations Prediction Based on Multi-Similarities Graph Convolutional Autoencoder.
IEEE J. Biomed. Health Informatics, July, 2023

GCCN: Graph Capsule Convolutional Network for Progressive Mild Cognitive Impairment Prediction and Pathogenesis Identification Based on Imaging Genetic Data.
IEEE J. Biomed. Health Informatics, June, 2023

DM-MOGA: a multi-objective optimization genetic algorithm for identifying disease modules of non-small cell lung cancer.
BMC Bioinform., 2023

ABCAE: Artificial Bee Colony Algorithm with Adaptive Exploitation for Epistatic Interaction Detection.
Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023

scGASI: A Graph Autoencoder-Based Single-Cell Integration Clustering Method.
Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023

Spectral Clustering of Single-Cell RNA-Sequencing Data by Multiple Feature Sets Affinity.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Spectral clustering based on multi-similarity learning method for single-cell RNA-seq data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

MKGSAGE: A Computational Framework via Multiple Kernel Fusion on GraphSAGE for Inferring Potential Disease-Related Microbes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

idenLD-AREL: identifying lncRNA-disease associations by random forests based on an ensemble learning framework.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
TDCOSR: A Multimodality Fusion Framework for Association Analysis Between Genes and ROIs of Alzheimer's Disease.
Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 2022

A Network-Based Voting Method for Identification and Prioritization of Personalized Cancer Driver Genes.
Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 2022

Construction of Gene Network Based on Inter-tumor Heterogeneity for Tumor Type Identification.
Proceedings of the Intelligent Computing Theories and Application, 2022

Identification of cancer driver modules by combining network functional and topology information.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Artificial bee colony algorithm based on self-adjusting random grouping for high-order epistasis detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Probability Connectivity-Based Multimodality Regression Analysis for Associating Disease-Specific Multimodal Brain Imaging Phenotypes with Genetic Risk Factors.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

scSASSL: Self-attention semi-supervised learning with deep generative models to automatically identify cell types.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
MOPIO: A Multi-Objective Pigeon-Inspired Optimization Algorithm for Community Detection.
Symmetry, 2021

DSCMF: prediction of LncRNA-disease associations based on dual sparse collaborative matrix factorization.
BMC Bioinform., 2021

Multiscale part mutual information for quantifying nonlinear direct associations in networks.
Bioinform., 2021

2020
Detection of Driver Modules with Rarely Mutated Genes in Cancers.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

IDSSIM: an lncRNA functional similarity calculation model based on an improved disease semantic similarity method.
BMC Bioinform., 2020

2019
NIPMI: A Network Method Based on Interaction Part Mutual Information to Detect Characteristic Genes From Integrated Data on Multi-Cancers.
IEEE Access, 2019

Inferring Communities and Key Genes of Triple Negative Breast Cancer Based on Robust Principal Component Analysis and Network Analysis.
Proceedings of the Recent Advances in Data Science, 2019

Dual Sparse Collaborative Matrix Factorization Method Based on Gaussian Kernel Function for Predicting LncRNA-Disease Associations.
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019

2018
Feature related multi-view nonnegative matrix factorization for identifying conserved functional modules in multiple biological networks.
BMC Bioinform., 2018

2015
Identifying overlapping mutated driver pathways by constructing gene networks in cancer.
BMC Bioinform., 2015


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