Xiang Chen

12 papers Journal 6Unranked 6
YearRankTypeTitle / Venue / Authors
2024 — conf
spGCLF: a versatile deep graph contrastive learning framework for spatial transcriptomics analysis.
BIBM
Xiang Chen, Junnan Yu, Min Li
2023 — conf
A deep graph convolution network with attention for clustering scRNA-seq data.
BIBM
Xiang Chen, Junnan Yu, Li Peng, Min Li
2023 — conf
ESR: Optimizing Gene Feature Selection for scRNA-seq Data.
CSCloud/EdgeCom
Tao Huang, Xiang Chen, Li Peng
2023 — conf
scIAMC:Single-Cell Imputation via adaptive matrix completion.
CSCloud/EdgeCom
Shuai Zhang, Xiang Chen, Li Peng
2022 J jnl
DAESTB: inferring associations of small molecule-miRNA via a scalable tree boosting model based on deep autoencoder.
Briefings Bioinform.
Li Peng, Yuan Tu, Li Huang, Yang Li, Xiangzheng Fu, Xiang Chen
2022 J jnl
RNMFLP: Predicting circRNA-disease associations based on robust nonnegative matrix factorization and label propagation.
Briefings Bioinform.
Li Peng, Cheng Yang, Li Huang, Xiang Chen, Xiangzheng Fu, Wei Liu
2021 J jnl
An Ensemble Method to Reconstruct Gene Regulatory Networks Based on Multivariate Adaptive Regression Splines.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ruiqing Zheng, Min Li, Xiang Chen, Siyu Zhao, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2020 J jnl
miRTMC: A miRNA Target Prediction Method Based on Matrix Completion Algorithm.
IEEE J. Biomed. Health Informatics
Hui Jiang, Mengyun Yang, Xiang Chen, Min Li, Yaohang Li, Jianxin Wang
2019 J jnl
BiXGBoost: a scalable, flexible boosting-based method for reconstructing gene regulatory networks.
Bioinform.
Ruiqing Zheng, Min Li, Xiang Chen, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2019 — conf
DoRC: Discovery of rare cells from ultra-large scRNA-seq data.
BIBM
Xiang Chen, Fang-Xiang Wu, Jin Chen, Min Li
2018 — conf
PBMarsNet: A Multivariate Adaptive Regression Splines Based Method to Reconstruct Gene Regulatory Networks.
ISBRA
Siyu Zhao, Ruiqing Zheng, Xiang Chen, Yaohang Li, Fang-Xiang Wu, Min Li
2011 J jnl
A local average connectivity-based method for identifying essential proteins from the network level.
Comput. Biol. Chem.
Min Li, Jianxin Wang, Xiang Chen, Huan Wang, Yi Pan