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 14 papers between 2015 and 2023.

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

Timeline

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Bibliography

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
Detection of Driver Modules with Rarely Mutated Genes in Cancers.
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


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