Feng Li

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Subspace Clustering

Data Clustering

Nonnegative Matrix Factorization

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Junliang Shang, Limin Zhang, Linqian Zhao, Xin He, Yan Zhao, Daohui Ge, Jin-Xing Liu, Feng Li
SGEGCAE: A Sparse Gating Enhanced Graph Convolutional Autoencoder for Multi-omics Data Integration and Classification. ICIC (LNBI 1) (2024)
Feng Li, Yang Liu, Jinxing Liu, Daohui Ge, Junliang Shang
A framework for scRNA-seq data clustering based on multi-view feature integration. Biomed. Signal Process. Control. 89 (2024)
Cui-Na Jiao, Junliang Shang, Feng Li, Xinchun Cui, Yan-Li Wang, Ying-Lian Gao, Jin-Xing Liu
Diagnosis-Guided Deep Subspace Clustering Association Study for Pathogenetic Markers Identification of Alzheimer's Disease Based on Comparative Atlases. IEEE J. Biomed. Health Informatics 28 (5) (2024)
Wen-Yue Kang, Ying-Lian Gao, Ying Wang, Feng Li, Jin-Xing Liu
KFDAE: CircRNA-Disease Associations Prediction Based on Kernel Fusion and Deep Auto-Encoder. IEEE J. Biomed. Health Informatics 28 (5) (2024)
Yue Gao, Ying-Lian Gao, Jing Jing, Feng Li, Chun-Hou Zheng, Jin-Xing Liu
A review of recent advances in spatially resolved transcriptomics data analysis. Neurocomputing 603 (2024)
Xiaomeng Xue, Feng Li, Junliang Shang, Lingyun Dai, Daohui Ge, Qianqian Ren
A feature extraction framework for discovering pan-cancer driver genes based on multi-omics data. Quant. Biol. 12 (2) (2024)
Junliang Shang, Yahan Li, Xiaohan Zhang, Feng Li, Yuanyuan Zhang, Jin-Xing Liu
CPSORCL: A Cooperative Particle Swarm Optimization Method with Random Contrastive Learning for Interactive Feature Selection. ISBRA (2) (2024)
Tian-Jing Qiao, Feng Li, Shasha Yuan, Ling-Yun Dai, Juan Wang
A Fusion Learning Model Based on Deep Learning for Single-Cell RNA Sequencing Data Clustering. J. Comput. Biol. 31 (6) (2024)
Ying Wang, Ying-Lian Gao, Juan Wang, Feng Li, Jin-Xing Liu
MSGCA: Drug-Disease Associations Prediction Based on Multi-Similarities Graph Convolutional Autoencoder. IEEE J. Biomed. Health Informatics 27 (7) (2023)
Juan Wang, Lin-Ping Wang, Shasha Yuan, Feng Li, Jin-Xing Liu, Junliang Shang
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 27 (10) (2023)
Junliang Shang, Xuhui Zhu, Yan Sun, Feng Li, Xiangzhen Kong, Jin-Xing Liu
DM-MOGA: a multi-objective optimization genetic algorithm for identifying disease modules of non-small cell lung cancer. BMC Bioinform. 24 (1) (2023)
Junliang Shang, Qi Zou, Qianqian Ren, Boxin Guan, Feng Li, Jin-Xing Liu, Yan Sun
GCCN: Graph Capsule Convolutional Network for Progressive Mild Cognitive Impairment Prediction and Pathogenesis Identification Based on Imaging Genetic Data. IEEE J. Biomed. Health Informatics 27 (6) (2023)
Lianlian Zhang, Shaoyi Liu, Qianqian Ren, Junliang Shang, Xiangzhen Kong, Feng Li
Spectral clustering based on multi-similarity learning method for single-cell RNA-seq data. BIBM (2023)
Han Li, Feng Li, Junliang Shang, Xikui Liu, Yan Li
A Network-Based Voting Method for Identification and Prioritization of Personalized Cancer Driver Genes. ISBRA (2022)
Qi Zou, Yan Sun, Feng Li, Juan Wang, Jin-Xing Liu, Junliang Shang
TDCOSR: A Multimodality Fusion Framework for Association Analysis Between Genes and ROIs of Alzheimer's Disease. ISBRA (2022)
Feng Li, Lin Gao, Bingbo Wang
Detection of Driver Modules with Rarely Mutated Genes in Cancers. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (2) (2020)
Ming-Ming Gao, Zhen Cui, Ying-Lian Gao, Feng Li, Jin-Xing Liu
Dual Sparse Collaborative Matrix Factorization Method Based on Gaussian Kernel Function for Predicting LncRNA-Disease Associations. ICIC (3) (2019)
Peizhuo Wang, Lin Gao, Yuxuan Hu, Feng Li
Feature related multi-view nonnegative matrix factorization for identifying conserved functional modules in multiple biological networks. BMC Bioinform. 19 (1) (2018)