Predicting Diabetes Mellitus With Machine Learning Techniques

Quan Zou, Kaiyang Qu, Yamei Luo, +3

Frontiers in Genetics

Distance-based Support Vector Machine to Predict DNA N6-methyladenine Modification

Haoyu Zhang, Quan Zou, Ying Ju, +2

Current Bioinformatics

Finding the Best Classification Threshold in Imbalanced Classification

Quan Zou, Sifa Xie, Ziyu Lin, +2

Big Data Research

Classification MethodEngineeringMachine LearningData ScienceData Mining +7

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

Quan Zou, Jinjin Li, Qingqi Hong, +4

BioMed Research International

EngineeringMachine LearningGenetic EpidemiologyInteraction NetworkLink Prediction +20

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

Quan Zou, Shixiang Wan, Ying Ju, +2

BMC Systems Biology

Improving tRNAscan‐SE Annotation Results via Ensemble Classifiers

Quan Zou, Jiasheng Guo, Ying Ju, +3

Molecular Informatics

EngineeringMachine LearningGeneticsGenomicsGene Recognition +19

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

Xiaotong Guo, Fulin Liu, Ying Ju, +2

Scientific Reports

Multiple Instance LearningEngineeringMachine LearningSignal RecognitionGene Recognition +21

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

Zhijun Liao, Ying Ju, Quan Zou

Scientifica

EngineeringMolecular BiologyBiostatisticsMolecular RecognitionProteomics +19

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

Chao Wang, Ying Ju, Quan Zou, +1

Bioinformatics

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

Ying Ju, Songming Zhang, Ningxiang Ding, +2

Scientific Reports