Jin-Xing Liu (Jinxing Liu)

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Venues

BMC bioinformatics

Genes

International journal of neural systems

BMC medical genomics

Qufu Normal University - Rizhao Campus

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Qufu Normal University - Rizhao Campus

China

Prof. :: School of Information Science and Engineering

Publications

Yuxia Wang, Shasha Yuan, Jin-Xing Liu, Wenrong Hu, Qingwei Jia, Fangzhou Xu
Combining EEG Features and Convolutional Autoencoder for Neonatal Seizure Detection. International journal of neural systems (2024)
Yuxia Wang, Shasha Yuan, Jin-Xing Liu, Wenrong Hu, Qingwei Jia, Fangzhou Xu
Combining EEG Features and Convolutional Autoencoder for Neonatal Seizure Detection. International journal of neural systems 34 (8) (2024)
Fanjie Meng, Feng Li, Jin-Xing Liu, Junliang Shang, Xikui Liu, Yan Li
NEXGB: A Network Embedding Framework for Anticancer Drug Combination Prediction. International journal of molecular sciences 23 (17) (2022)
Bao-Min Liu, Ying-Lian Gao, Dai-Jun Zhang, Feng Zhou, Juan Wang, Chun-Hou Zheng, Jin-Xing Liu
A new framework for drug-disease association prediction combing light-gated message passing neural network and gated fusion mechanism. Briefings in bioinformatics 23 (6) (2022)
Feng Li, Xin Chu, Lingyun Dai, Juan Wang, Jin-Xing Liu, Junliang Shang
Effects of Multi-Omics Characteristics on Identification of Driver Genes Using Machine Learning Algorithms. Genes 13 (5) (2022)
Lingyun Dai, Rong Zhu, Jin-Xing Liu, Feng Li, Juan Wang, Junliang Shang
MSF-UBRW: An Improved Unbalanced Bi-Random Walk Method to Infer Human lncRNA-Disease Associations. Genes 13 (11) (2022)
Feng Li, Zhensheng Sun, Jin-Xing Liu, Junliang Shang, Ling-Yun Dai, Xikui Liu, Yan Li
NESM: a network embedding method for tumor stratification by integrating multi-omics data. G3 (Bethesda, Md.) 12 (11) (2022)
Feng Zhou, Meng-Meng Yin, Cui-Na Jiao, Zhen Cui, Jing-Xiu Zhao, Jin-Xing Liu
Bipartite graph-based collaborative matrix factorization method for predicting miRNA-disease associations. BMC bioinformatics 22 (1) (2021)
Tian-Ru Wu, Meng-Meng Yin, Cui-Na Jiao, Ying-Lian Gao, Xiang-Zhen Kong, Jin-Xing Liu
MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations. BMC bioinformatics 21 (1) (2020)
Liang-Rui Ren, Ying-Lian Gao, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng
Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification. BMC bioinformatics 21 (1) (2020)
Mi-Xiao Hou, Ying-Lian Gao, Jin-Xing Liu, Junliang Shang, Rong Zhu, Sha-Sha Yuan
A new method for mining information of co-expression network based on multi-cancers integrated data. BMC medical genomics 12 (Suppl 7) (2019)
Ming-Ming Gao, Zhen Cui, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng
Dual-network sparse graph regularized matrix factorization for predicting miRNA-disease associations. Molecular omics 15 (2) (2019)
Ying-Lian Gao, Zhen Cui, Jin-Xing Liu, Juan Wang, Chun-Hou Zheng
NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations. BMC bioinformatics 20 (1) (2019)
Zhen Cui, Ying-Lian Gao, Jin-Xing Liu, Juan Wang, Junliang Shang, Ling-Yun Dai
The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method. BMC bioinformatics 20 (1) (2019)
Chun-Mei Feng, Ying-Lian Gao, Jin-Xing Liu, Juan Wang, Dong-Qin Wang, Chang-Gang Wen
Joint L1/2-Norm Constraint and Graph-Laplacian PCA Method for Feature Extraction. BioMed research international 2017 (2017)

Jin-Xing Liu.css-eqlu8i{font-size:small;padding-left:4px;} (Jinxing Liu)

Publication Activity (10 Years)

Top Topics

Top Venues

Jin-Xing Liu (Jinxing Liu)