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 16 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
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
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
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
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
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
2020
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
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