Xiangrong Liu

发表

Hierarchical Classification of Protein Folds Using a Novel Ensemble Classifier

Q. Zou, Chen Lin, Ying Zou, 2013, PloS one.

2lpiRNApred: a two-layered integrated algorithm for identifying piRNAs and their functions based on LFE-GM feature selection

Quan Zou, Xiangrong Liu, Min Jiang, 2020, RNA biology.

An advanced approach to identify antimicrobial peptides and their function types for penaeus through machine learning strategies

Xiangrong Liu, Yinyin Cai, Juan Liu, 2019, BMC Bioinformatics.

Exploratory Predicting Protein Folding Model with Random Forest and Hybrid Features

Quan Zou, Xiangrong Liu, Bin Liu, 2014 .

Pre-training of Equivariant Graph Matching Networks with Conformation Flexibility for Drug Binding

Stan Z. Li, Q. Zhang, Xiangrong Liu, 2022, 2204.08663.

Predict the Relationship between Gene and Large Yellow Croaker’s Economic Traits

Xiangxiang Zeng, Xiangrong Liu, Kunhuang Han, 2017, Molecules.

MLysPRED: graph-based multi-view clustering and multi-dimensional normal distribution resampling techniques to predict multiple lysine sites

Q. Zhang, Xiangxiang Zeng, Xiangrong Liu, 2022, Briefings Bioinform..

A novel antibacterial peptide recognition algorithm based on BERT

Xiangxiang Zeng, Xiangrong Liu, Lianming Zhao, 2021, Briefings Bioinform..

Pre‐Training of Equivariant Graph Matching Networks with Conformation Flexibility for Drug Binding

Stan Z. Li, Q. Zhang, Xiangrong Liu, 2022, Advanced science.

Sc-ncDNAPred: A Sequence-Based Predictor for Identifying Non-coding DNA in Saccharomyces cerevisiae

Xiangrong Liu, Xiangxiang Zeng, Wenying He, 2018, Front. Microbiol..

Multiobjective Particle Swarm Optimization Based on Network Embedding for Complex Network Community Detection

Xiangxiang Zeng, Min Jiang, Xiangrong Liu, 2020, IEEE Transactions on Computational Social Systems.

Predicting of Associations Between MicroRNA and Human Diseases Based on Multiple Similarities and Arbitrarily-Order Proximity Network Embedding

Gil Alterovitz, Xiangrong Liu, Beizhan Wang, 2019, IEEE Access.

Computational prediction of human disease-related microRNAs by path-based random walk

Ying Ju, Xiangrong Liu, Xiaoyang Huang, 2017, Oncotarget.

Computational methods for identifying the critical nodes in biological networks

Xiangrong Liu, Xiangxiang Zeng, Juan Liu, 2019, Briefings Bioinform..

A multi-task learning method for analyzing microbiota as cancer immunotherapy signal

Xiangxiang Zeng, Shuting Jin, Xiangrong Liu, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Application of Machine Learning in Microbiology

Xiangrong Liu, Fei Guo, Quan Zou, 2019, Front. Microbiol..

The challenges of explainable AI in biomedical data science

Xiangrong Liu, Henry Han, 2021, BMC Bioinformatics.

deepDR: a network-based deep learning approach to in silico drug repositioning

Xiangrong Liu, Xiangxiang Zeng, Ruth Nussinov, 2019, Bioinform..

Computational Prediction of Sigma-54 Promoters in Bacterial Genomes by Integrating Motif Finding and Machine Learning Strategies

Xiangrong Liu, Qin Ma, Jichang Wu, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Application of deep learning methods in biological networks

Xiangxiang Zeng, Feng Xia, Wei Huang, 2020, Briefings Bioinform..

Structural Hole Spanner in HumanNet Identifies Disease Gene and Drug targets

Xiangrong Liu, Xiangxiang Zeng, Alfonso Rodríguez-Patón, 2018, IEEE Access.

Identifying enhancer-promoter interactions with neural network based on pre-trained DNA vectors and attention mechanism

Xiangrong Liu, Xiangxiang Zeng, Leyi Wei, 2019, Bioinform..

Machine Learning for Drug-Target Interaction Prediction

Xiangrong Liu, Juan Liu, Shuting Jin, 2018, Molecules.

Sequence clustering in bioinformatics: an empirical study.

Xingpeng Jiang, Xiangrong Liu, Xiangxiang Zeng, 2018, Briefings in bioinformatics.

Learning to Predict Drug Target Interaction From Missing Not at Random Labels

Chen Lin, Xiangrong Liu, Xiangxiang Zeng, 2019, IEEE Transactions on NanoBioscience.

Resistance gene identification from Larimichthys crocea with machine learning techniques

Ying Ju, Xiangrong Liu, Yinyin Cai, 2016, Scientific Reports.

preMLI: a pre-trained method to uncover microRNA-lncRNA potential interactions

Xiangxiang Zeng, Xiangrong Liu, Likun Jiang, 2021, Briefings Bioinform..

Investment behavior prediction in heterogeneous information network

Xiangxiang Zeng, You Li, Stephen C. H. Leung, 2016, Neurocomputing.

Neural-like P systems with plasmids

Alfonso Rodríguez-Patón, Francis George C. Cabarle, Niall Murphy, 2021, Inf. Comput..

LaGAT: link-aware graph attention network for drug–drug interaction prediction

Xiangrong Liu, Shuting Jin, Pengyu Luo, 2022, Bioinform..

DeepTTA: a transformer-based model for predicting cancer drug response

Xiangrong Liu, Likun Jiang, Shuting Jin, 2022, Briefings Bioinform..

An advanced approach to identify antimicrobial peptides and their function types for penaeus through machine learning strategies

Xiangrong Liu, Yuan Lin, Yinyin Cai, 2019, BMC Bioinformatics.

DNA Strand Displacement Based on Nicking Enzyme for DNA Logic Circuits

Xiangrong Liu, Gaiying Wang, Zhiyu Wang, 2018, BIC-TA.

HeTDR: Drug repositioning based on heterogeneous networks and text mining

Zhangming Niu, Xiangrong Liu, Wei Huang, 2021, Patterns.

Predicting enhancer-promoter interactions by deep learning and matching heuristic

Xiangxiang Zeng, Xiangrong Liu, Xiaoping Min, 2020, Briefings Bioinform..

Drug-target interactions prediction via deep collaborative filtering with multiembeddings

Xiangrong Liu, Shuting Jin, Bing Hu, 2022, Briefings Bioinform..

On solutions and representations of spiking neural P systems with rules on synapses

Xiangrong Liu, Xiangxiang Zeng, Defu Zhang, 2019, Inf. Sci..

Pharmacophoric-constrained heterogeneous graph transformer model for molecular property prediction

Xiangxiang Zeng, Xiangrong Liu, Guang Yang, 2023, Communications Chemistry.

Using MOEA with Redistribution and Consensus Branches to Infer Phylogenies

Xiangrong Liu, Xiangxiang Zeng, Xiaoping Min, 2017, International journal of molecular sciences.

Molecular logic computation with debugging method

Yan Gao, Xiangrong Liu, Xiangxiang Zeng, 2015 .

Pre‐Training of Equivariant Graph Matching Networks with Conformation Flexibility for Drug Binding

Stan Z. Li, Xiangrong Liu, Shuting Jin, 2022, Advanced science.

Asynchronous spiking neural P systems with rules on synapses

Xiangrong Liu, Xiangxiang Zeng, Tao Song, 2015, Neurocomputing.