Feng Li 0033 - researchr alias

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Viewing Publication 1 - 23 from 23

2025

Multi-Affinity network integration based on multi-omics data for tumor stratificationFeng Li 0033, Yanru Gao, Zhensheng Sun, Shengjun Li, Junliang Shang, Jin-Xing Liu. bspc, 103:107487, 2025. [doi]

A Modified Transformer Network for Seizure Detection Using EEG SignalsWenrong Hu, Juan Wang 0003, Feng Li 0033, Daohui Ge, Yuxia Wang, Qingwei Jia, Shasha Yuan. IJNS, 35(2), February 2025. [doi]

2024

A multi-objective genetic algorithm based on neighborhood coevolution for community detectionMingyuan Bi, Junliang Shang, Xiaotong Kong, Feng Li 0033, Yuanyuan Zhang 0008, Jin-Xing Liu 0001. bibm 2024: 1422-1425 [doi]

Spatial domains identification based on multi-view contrastive learning in spatial transcriptomicsYanru Gao, Feng Li 0033, Fanhao Meng, Daohui Ge, Qianqian Ren, Junliang Shang. bibm 2024: 521-527 [doi]

A review of recent advances in spatially resolved transcriptomics data analysisYue Gao, Ying-Lian Gao, Jing Jing, Feng Li 0033, Chun-Hou Zheng 0001, Jin-Xing Liu 0001. ijon, 603:128283, 2024. [doi]

Diagnosis-Guided Deep Subspace Clustering Association Study for Pathogenetic Markers Identification of Alzheimer's Disease Based on Comparative AtlasesCui-Na Jiao, Junliang Shang, Feng Li 0033, Xinchun Cui, Yan-li Wang, Ying-Lian Gao, Jin-Xing Liu. titb, 28(5):3029-3041, May 2024. [doi]

KFDAE: CircRNA-Disease Associations Prediction Based on Kernel Fusion and Deep Auto-EncoderWen-Yue Kang, Ying-Lian Gao, Ying Wang, Feng Li 0033, Jin-Xing Liu. titb, 28(5):3178-3185, May 2024. [doi]

Integrating Autoencoder and Multi-View Graph Convolutional Networks for Spatial Domains IdentificationFanhao Meng, Feng Li 0033, Yanru Gao, Daohui Ge, Rong Zhu, Junliang Shang. bibm 2024: 558-564 [doi]

A Fusion Learning Model Based on Deep Learning for Single-Cell RNA Sequencing Data ClusteringTian-Jing Qiao, Feng Li 0033, Shasha Yuan, Ling-Yun Dai, Juan Wang 0003. jcb, 31(6):576-588, 2024. [doi]

Multi-Population Ant Colony Optimization With Knowledge-Based Local Searches for Epistasis DetectionQianqian Ren, Shaoyi Liu, Lianlian Zhang, Junliang Shang, Feng Li 0033. bibm 2024: 639-642 [doi]

SGFCCDA: Scale Graph Convolutional Networks and Feature Convolution for circRNA-Disease Association PredictionJunliang Shang, Linqian Zhao, Xin He, Xianghan Meng, Limin Zhang, Daohui Ge, Feng Li 0033, Jin-Xing Liu 0001. titb, 28(11):7006-7014, November 2024. [doi]

CPSORCL: A Cooperative Particle Swarm Optimization Method with Random Contrastive Learning for Interactive Feature SelectionJunliang Shang, Yahan Li, Xiaohan Zhang, Feng Li 0033, Yuanyuan Zhang, Jin-Xing Liu 0001. isbra 2024: 327-338 [doi]

SGEGCAE: A Sparse Gating Enhanced Graph Convolutional Autoencoder for Multi-omics Data Integration and ClassificationJunliang Shang, Limin Zhang, Linqian Zhao, Xin He, Yan Zhao, Daohui Ge, Jin-Xing Liu, Feng Li 0033. icic 2024: 135-146 [doi]

3HOGAT: A Multi-View Multi-Modal Multi-Scale High-Order Graph Attention Network for Microbe-Disease Association PredictionShuang Wang, Jin-Xing Liu 0001, Feng Li 0033, Juan Wang 0003, Ying-Lian Gao. titb, 28(10):6259-6267, October 2024. [doi]

A feature extraction framework for discovering pan-cancer driver genes based on multi-omics dataXiaomeng Xue, Feng Li 0033, Junliang Shang, Lingyun Dai, Daohui Ge, Qianqian Ren. quanbio, 12(2):173-181, 2024. [doi]

MGCNRF: Prediction of Disease-Related miRNAs Based on Multiple Graph Convolutional Networks and Random ForestYi Yang, Yan Sun, Feng Li 0033, Boxin Guan, Jin-Xing Liu 0001, Junliang Shang. tnn, 35(11):15701-15709, November 2024. [doi]

FSCME: A Feature Selection Method Combining Copula Correlation and Maximal Information Coefficient by Entropy WeightsQi Zhong, Junliang Shang, Qianqian Ren, Feng Li 0033, Cui-Na Jiao, Jin-Xing Liu 0001. titb, 28(9):5638-5648, September 2024. [doi]

2023

NLRRC: A Novel Clustering Method of Jointing Non-Negative LRR and Random Walk Graph Regularized NMF for Single-Cell Type IdentificationJuan Wang 0003, Lin-Ping Wang, Shasha Yuan, Feng Li 0033, Jin-Xing Liu, Junliang Shang. titb, 27(10):5199-5209, October 2023. [doi]

GCCN: Graph Capsule Convolutional Network for Progressive Mild Cognitive Impairment Prediction and Pathogenesis Identification Based on Imaging Genetic DataJunliang Shang, Qi Zou, Qianqian Ren, Boxin Guan, Feng Li 0033, Jin-Xing Liu, Yan Sun. titb, 27(6):2968-2979, June 2023. [doi]

DM-MOGA: a multi-objective optimization genetic algorithm for identifying disease modules of non-small cell lung cancerJunliang Shang, Xuhui Zhu, Yan Sun, Feng Li 0033, Xiangzhen Kong, Jin-Xing Liu. bmcbi, 24(1):13, 2023. [doi]

MSGCA: Drug-Disease Associations Prediction Based on Multi-Similarities Graph Convolutional AutoencoderYing Wang, Ying-Lian Gao, Juan Wang 0003, Feng Li 0033, Jin-Xing Liu. titb, 27(7):3686-3694, July 2023. [doi]

2022

A Network-Based Voting Method for Identification and Prioritization of Personalized Cancer Driver GenesHan Li, Feng Li 0033, Junliang Shang, Xikui Liu, Yan Li. isbra 2022: 148-158 [doi]

TDCOSR: A Multimodality Fusion Framework for Association Analysis Between Genes and ROIs of Alzheimer's DiseaseQi Zou, Yan Sun, Feng Li 0033, Juan Wang, Jin-Xing Liu, Junliang Shang. isbra 2022: 159-168 [doi]

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