Y. Ju

发表

Prediction of MicroRNA-Disease Associations Based on Social Network Analysis Methods

Q. Zou, Jinjin Li, Qingqi Hong, 2015, BioMed Research International.

Predicting Diabetes Mellitus With Machine Learning Techniques

Ying Ju, Hua Tang, Quan Zou, 2018, Front. Genet..

In Silico Prediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT Approaches

Yong Huang, P. Xuan, Z. Liao, 2016, BioMed research international.

Protein Folds Prediction with Hierarchical Structured SVM

Q. Zou, Y. Ju, Dapeng Li, 2016 .

A Linear Regression Predictor for Identifying N6-Methyladenosine Sites Using Frequent Gapped K-mer Pattern

Y. Ju, Y. Zhuang, H.J. Liu, 2019, Molecular therapy. Nucleic acids.

Prediction of G Protein-Coupled Receptors with SVM-Prot Features and Random Forest

Ying Ju, Quan Zou, Zhijun Liao, 2016, Scientifica.

Improving tRNAscan‐SE Annotation Results via Ensemble Classifiers

Ying Ju, Xiangxiang Zeng, Zhiling Hong, 2015, Molecular informatics.

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

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

Human Protein Subcellular Localization with Integrated Source and Multi-label Ensemble Classifier

Ying Ju, Chunyu Wang, Chunyu Wang, 2016, Scientific Reports.

Complex Network Clustering by a Multi-objective Evolutionary Algorithm Based on Decomposition and Membrane Structure

Ying Ju, Songming Zhang, Xiangxiang Zeng, 2016, Scientific Reports.

Distance-based support vector machine to predict DNA N6-methyladenine modification

Q. Zou, Y. Ju, Dong Chen, 2022, Current Bioinformatics.

Prediction of MicroRNA-disease Associations by Matrix Completion

Ying Ju, Xiangxiang Zeng, Alfonso Rodríguez-Patón, 2016 .

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

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

Accurate Identification of Cancerlectins through Hybrid Machine Learning Technology

Ying Ju, Huijuan Lu, Ping Xuan, 2016, International journal of genomics.

DeepAc4C: a convolutional neural network model with hybrid features composed of physicochemical patterns and distributed representation information for identification of N4-acetylcytidine in mRNA

Ying Ju, Quan Zou, Chao Wang, 2021, Bioinform..

Finding the Best Classification Threshold in Imbalanced Classification

Ying Ju, Ziyu Lin, Meihong Wu, 2016, Big Data Res..

iPseU-TWSVM: Identification of RNA pseudouridine sites based on TWSVM.

Yijie Ding, Y. Ju, Xin Zhang, 2022, Mathematical biosciences and engineering : MBE.

Application of Sparse Representation in Bioinformatics

Lei Shi, Lei Xu, Y. Ju, 2021, Frontiers in Genetics.

Finding the Best Classification Threshold in Imbalanced Classification

Q. Zou, Ziyu Lin, Y. Ju, 2016, Big Data Res..

A Framework Integrating Heterogeneous Databases for the Completion of Gene Networks

Zhe Jin, Ying Ju, Donghua Wang, 2019, IEEE Access.

Characterizing viral circRNAs and their application in identifying circRNAs in viruses

Q. Zou, Chen Lin, Y. Ju, 2021, Briefings Bioinform..

Resistance gene identification from Larimichthys crocea with machine learning techniques

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

Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy

Ying Ju, Xiangxiang Zeng, Jijun Tang, 2016, BMC Systems Biology.

Review of Protein Subcellular Localization Prediction

Ying Ju, Xiangxiang Zeng, Quan Zou, 2014 .

Enhancer-FRL: Improved and Robust Identification of Enhancers and Their Activities Using Feature Representation Learning

Q. Zou, Y. Ju, Hua Shi, 2022, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Identifying and Classifying Enhancers by Dinucleotide-Based Auto-Cross Covariance and Attention-Based Bi-LSTM

Q. Zou, Y. Ju, Xi Su, 2022, Computational and mathematical methods in medicine.

Identification of Multi-Functional Enzyme with Multi-Label Classifier

Ren Long, Ying Ju, Ping Xuan, 2016, PloS one.

Improving tRNAscan‐SE Annotation Results via Ensemble Classifiers

Q. Zou, Xiangxiang Zeng, Y. Ju, 2015, Molecular informatics.

CWLy-RF: A novel approach for identifying cell wall lyases based on random forest classifier.

Lei Xu, Y. Ju, Shihu Jiao, 2021, Genomics.