Publications

Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Ran Su* (2021). Free-form tumor synthesis in computed tomography images via richer generative adversarial network. In Knowledge-Based Systems.

Qiangguo Jin, Zhaopeng Meng, Changming Sun, Hui Cui, Ran Su* (2020). RA-UNet: A Hybrid Deep Attention-Aware Network to Extract Liver and Tumor in CT Scans. In Frontiers in Bioengineering and Biotechnology.

Jin Liu, Ran Su*, Jiahang Zhang, Leyi Wei* (2020). Classification and gene selection of Triple negative breast cancer subtype embedding gene connectivity matrix in deep neural network. In Briefings in Bioinformatics.

Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Ran Su* (2020). Cascade knowledge diffusion network for skin lesion diagnosis and segmentation. In Applied Soft Computing.

Ran Su*, Linlin He, Tianling Liu, Xiaofeng Liu, Leyi Wei* (2020). Protein subcellular localization based on deep image features and criterion learning strategy. In Briefings in Bioinformatics.

Qi Chen, Zhaopeng Meng, Ran Su* (2020). WERFE: A Gene Selection Algorithm Based on Recursive Feature Elimination and Ensemble Strategy. In Frontiers in Bioengineering and Biotechnology.

Yuan Liu, Dasheng Chen, Ran Su*, Wei Chen*, Leyi Wei* (2020). iRNA5hmC: The First Predictor to Identify RNA 5-Hydroxymethylcytosine Modifications Using Machine Learning. In Frontiers in Bioengineering and Biotechnology.

Chichi Dai, Pengmian Feng, Lizhen Cui, Ran Su*, Wei Chen*, Leyi Wei* (2020). Iterative feature representation algorithm to improve the predictive performance of N 7 -methylguanosine sites. In Briefings in Bioinformatics.

Ran Su*, Huichen Wu, Xinyi Liu, Leyi Wei* (2019). Predicting drug-induced hepatotoxicity based on biological feature maps and diverse classification strategies. In Briefings in Bioinformatics.

Ran Su*, Tianling Liu, Changming Sun, Qiangguo Jin, Rachid Jennane, Leyi Wei* (2019). Fusing convolutional neural network features with hand-crafted features for osteoporosis diagnoses. In Neurocomputing.

Bing Rao, Chen Zhou, Guoying Zhang*, Ran Su*, Leyi Wei* (2019). ACPred-Fuse: fusing multi-view information improves the prediction of anticancer peptides. In Briefings in Bioinformatics.

Ran Su*, Huichen Wu, Bo Xu, Xiaofeng Liu, Leyi Wei* (2019). Developing a Multi-Dose Computational Model for Drug-induced Hepatotoxicity Prediction based on Toxicogenomics Data. In IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Ran Su*, Jiahang Zhang, Xiaofeng Liu, Leyi Wei* (2019). Identification of expression signatures for non-small-cell lung carcinoma subtype classification. In Bioinformatics.

Leyi Wei#, Ran Su#, Shasha Luan, Zhijun Liao, Balachandran Manavalan*, Quan Zou*, Xiaolong Shi* (2019). Iterative feature representations improve N4-methylcytosine site prediction. In Bioinformatics.

Qiangguo Jin, Zhaopeng Meng, Tuan D. Pham b, Qi Chen, Leyi Wei*, Ran Su* (2019). DUNet A deformable network for retinal vessel segmentation. In Knowledge-Based Systems.

Junting Zhao, Zhaopeng Meng, Leyi Wei*, Changming Sun, Quan Zou*, Ran Su* (2019). Supervised Brain Tumor Segmentation Based on Gradient and Context-Sensitive Features. In Frontiers in Neuroscience.

Ran Su*, Xinyi Liu, Leyi Wei*, Quan Zou* (2019). Deep-Resp-Forest: A deep forest model to predict anti-cancer drug response. In Methods.

Ran Su*, Jie Hu, Quan Zou*, Balachandran Manavalan*, Leyi Wei* (2019). Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools. In Briefings in Bioinformatics.

Xiaoli Qiang, Huangrong Chen, Xiucai Ye, Ran Su*, Leyi Wei* (2018). M6AMRFS: Robust Prediction of N6-Methyladenosine Sites With Sequence-Based Features in Multiple Species. In Frontiers in Bioengineering and Biotechnology.

Leyi Wei*, Shasha Luan, Luis Augusto Eijy Nagai, Ran Su*, Quan Zou* (2018). Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species. In Bioinformatics.

Ran Su*, Weijun Chen, Leyi Wei*, Xiuting Li, Qiangguo Jin, Wenyuan Tao* (2018). Encoded Texture Features to Characterize Bone Radiograph Images. In 2018 24th International Conference on Pattern Recognition (ICPR).

Leyi Wei*, Huangrong Chen, Ran Su* (2018). M6APred-EL: A Sequence-Based Predictor for Identifying N6-methyladenosine Sites Using Ensemble Learning. In Molecular Therapy Nucleic Acids.

Qi Chen, Zhaopeng Meng, Xinyi Liu, Qianguo Jin, Ran Su* (2018). Decision Variants for the Automatic Determination of Optimal Feature Subset in RF-RFE. In genes.

Leyi Wei*, Ran Su*, Bing Wang, Xiuting Li, Quan Zou*, Xing Gao* (2018). Integration of deep feature representations and handcrafted features to improve the prediction of N6-methyladenosine sites. In Neurocomputing.

Leyi Wei*, Chen Zhou, Huangrong Chen, Jiangning Song*, Ran Su* (2018). ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides. In Bioinformatics.

Leyi Wei*, Yijie Ding, Ran Su*, Jijun Tang, Quan Zou* (2017). Prediction of human protein subcellular localization using deep learning. In Journal of Parallel and Distributed Computing.

Leyi Wei*, Pengwei Xing, Jiancang Zeng, JinXiu Chen, Ran Su*, Fei Guo* (2017). Improved prediction of protein-protein interactions using novelnegative samples, features, and an ensemble classifier. In Artificial Intelligence in Medicine.

Leyi Wei*, Chen Zhou, Ran Su*, Quan Zou* (2017). PEPred-Suite: improved and robust prediction of therapeutic peptides using adaptive feature representation learning. In Bioinformatics.

Ran Su*, Xinyi Liu, Leyi Wei* (2017). MinE-RFE: determine the optimal subset from RFE by minimizing the subset-accuracy–defined energy. In Briefings in Bioinformatics.

Ran Su, Xinyi Liu, Guobao Xiao*, Leyi Wei* (2017). Meta-GDBP: a high-level stacked regression model to improve anticancer drug response prediction. In Briefings in Bioinformatics.

Ran Su*, Yao Li, Daniele Zink, Lit-Hsin Loo* (2014). Supervised prediction of drug-induced nephrotoxicity based on interleukin-6 and -8 expression levels. In BMC Bioinformatics.

Ran Su*, Changming Sun, Chao Zhang, Tuan D. Pham (2014). A novel method for dendritic spines detection based on directional morphological filter and shortest path. In Computerized Medical Imaging & Graphics.

Ran Su*, Changming Sun, Chao Zhang, Tuan D. Pham (2014). A new method for linear feature and junction enhancement in 2D images based on morphological operation, oriented anisotropic Gaussian function and Hessian information. In Pattern Recognition.

Ran Su*, Changming Sun, Tuan D. Pham c (2012). Junction detection for linear structures based on Hessian, correlation and shape information. In Pattern Recognition.