Feng Li
Orcid: 0000-0002-5556-3789Affiliations:
- 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:
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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
Neurocomputing, 2024
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
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
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