Hui Liu

Affiliations:
  • China University of Mining and Technology, School of Information and Electrical Engineering, Jiangsu, China


According to our database1, Hui Liu authored at least 29 papers between 2009 and 2023.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Surrogate Sample-Assisted Particle Swarm Optimization for Feature Selection on High-Dimensional Data.
IEEE Trans. Evol. Comput., 2023

FGFICA: Independent Component Analysis of Fusion Genomic Features for Mining Epi-Transcriptome Profiling Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022
BRPCA: Bounded Robust Principal Component Analysis to Incorporate Similarity Network for N7-Methylguanosine(m<sup>7</sup>G) Site-Disease Association Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

FBCwPlaid: A Functional Biclustering Analysis of Epi-Transcriptome Profiling Data Via a Weighted Plaid Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

EMDLP: Ensemble multiscale deep learning model for RNA methylation site prediction.
BMC Bioinform., 2022

LRTCLS: low-rank tensor completion with Laplacian smoothing regularization for unveiling the post-transcriptional machinery of <i>N</i>6-methylation (m6A)-mediated diseases.
Briefings Bioinform., 2022

2021
ARMS Net: Overlapping chromosome segmentation based on Adaptive Receptive field Multi-Scale network.
Biomed. Signal Process. Control., 2021

EDLm<sup>6</sup>APred: ensemble deep learning approach for mRNA m<sup>6</sup>A site prediction.
BMC Bioinform., 2021

m7GDisAI: N7-methylguanosine (m7G) sites and diseases associations inference based on heterogeneous network.
BMC Bioinform., 2021

Lysosome activation in peripheral blood mononuclear cells and prognostic significance of circulating LC3B in COVID-19.
Briefings Bioinform., 2021

2020
REW-ISA: unveiling local functional blocks in epi-transcriptome profiling data via an RNA expression-weighted iterative signature algorithm.
BMC Bioinform., 2020

2019
m6Acomet: large-scale functional prediction of individual m6A RNA methylation sites from an RNA co-methylation network.
BMC Bioinform., 2019

RNA methylation and diseases: experimental results, databases, Web servers and computational models.
Briefings Bioinform., 2019

2018
MeT-DB V2.0: elucidating context-specific functions of N6-methyl-adenosine methyltranscriptome.
Nucleic Acids Res., 2018

2017
Cancer Progression Prediction Using Gene Interaction Regularized Elastic Net.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

2015
MeT-DB: a database of transcriptome methylation in mammalian cells.
Nucleic Acids Res., 2015

Sketching the distribution of transcriptomic features on RNA transcripts with Travis coordinates.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Differential analysis of RNA methylome with improved spatial resolution.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Detecting differentially methylated mRNA from MeRIP-Seq with likelihood ratio test.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013
Integration of gene expression, genome wide DNA methylation, and gene networks for clinical outcome prediction in ovarian cancer.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Unveiling the dynamics in RNA epigenetic regulations.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
An investigation of clinical outcome prediction from integrative genomic profiles in ovarian cancer.
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012

2011
Clustering DNA methylation expressions using nonparametric beta mixture model.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011

2010
Improving performance of mammalian microRNA target prediction.
BMC Bioinform., 2010

miRNA Target Prediction Method Based on the Combination of Multiple Algorithms.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010

SysMicrO: A Novel Systems Approach for miRNA Target Prediction.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2010

A Bayesian decision fusion approach for microRNA target prediction.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010

2009
A Bayesian Approach for Identifying miRNA Targets by Combining Sequence Prediction and Expression Profiling.
Proceedings of the International Joint Conferences on Bioinformatics, 2009

A comprehensive study of a SVM-based miRNA target prediction algorithm.
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009


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