Paper Publications

• [1]  吴昊. StackTADB: a stacking-based ensemble learning model for predicting the boundaries of topologically associating domains (TADs) accurately in fruit flies.  Briefings in Bioinformatics ,  2022. 
• [2]  吴昊. StackTADB: a stacking-based ensemble learning model for predicting the boundaries of topologically associating domains (TADs) accurately in fruit flies.  Briefings in Bioinformatics ,  23,  2022. 
• [3]  杨帆. Signaling Potential Therapeutic Herbal Medicine Prescription for Treating COVID-19 by Collaborative Filtering.  FRONTIERS IN PHARMACOLOGY,  2021. 
• [4]  吴昊. StackTADB: a stacking-based ensemble learning model for predicting the boundaries of topologically associating domains (TADs) accurately in fruit f lies.  Briefings in Bioinformatics ,  2022. 
• [5]  Zengyan Hong. Identifying enhancer–promoter interactions with neural network based on pre-trained DNA vectors and attention mechanism.  Bioinformatics,  36,  1037, 2020. 
• [6]  程豪. PepFormer: End-to-End Transformer-Based Siamese Network to Predict and Enhance Peptide Detectability Based on Sequence Only.  ANALYTICAL CHEMISTRY,  93,  6481, 2021. 
• [7]  Su, Ran. Predicting drug-induced hepatotoxicity based on biological feature maps and diverse classification strategies.  Briefings in Bioinformatics,  22,  428, 2021. 
• [8]  Manavalan, Balachandran. 4mCpred-EL: An Ensemble Learning Framework for Identification of DNA N-4-Methylcytosine Sites in the Mouse Genome.  CELLS,  8,  2019. 
• [9]  Su, Ran. Fusing convolutional neural network features with hand-crafted features for osteoporosis diagnoses.  Neurocomputing,  385,  300, 2020. 
• [10]  Liu, Yuan. iRNA5hmC: The First Predictor to Identify RNA 5-Hydroxymethylcytosine Modifications Using Machine Learning.  Frontiers in Bioengineering and Biotechnology,  8,  2020. 
• [11]  Cai, Jianhua. A Bioinformatics Tool for the Prediction of DNA N6-Methyladenine Modifications Based on Feature Fusion and Optimization Protocol.  Frontiers in Bioengineering and Biotechnology,  8,  2020. 
• [12]  Hong, Zengyan. Identifying enhancer-promoter interactions with neural network based on pre-trained DNA vectors and attention mechanism.  Bioinformatics,  36,  1037, 2020. 
• [13]  Rao, Bing. ACPred-Fuse: fusing multi-view information improves the prediction of anticancer peptides.  Briefings in Bioinformatics,  21,  1846, 2020.