Abstract is missing.
- Task-Oriented Snapshot Network Construction of Stock MarketJiancheng Sun, Yunfan Hu, Zhinan Wu, Huimin Niu, Si Chen. 3-11 [doi]
- Analysis of Elimination Algorithm Based on Curve Self-intersectionQingyue Bai, Junrui Yue. 12-23 [doi]
- Towards AI-Based Reaction and Mitigation for e-Commerce - the ENSURESEC EngineMarek Pawlicki, Rafal Kozik, Damian Puchalski, Michal Choras. 24-31 [doi]
- Arabic Light Stemmer Based on ISRI StemmerDhafar Hamed Abd, Wasiq Khan, Khudhair Abed Thamer, Abir Jaafar Hussain. 32-45 [doi]
- Predicting miRNA-Disease Associations via a New MeSH Headings Representation of Diseases and eXtreme Gradient BoostingBo-Ya Ji, Zhu-Hong You, Lei Wang 0121, Leon Wong, Xiao-Rui Su, Bo-Wei Zhao. 49-56 [doi]
- Social Media Adverse Drug Reaction Detection Based on Bi-LSTM with Multi-head Attention MechanismXuqi Wang, Wenzhun Huang, Shanwen Zhang. 57-65 [doi]
- HOMC: A Hierarchical Clustering Algorithm Based on Optimal Low Rank Matrix Completion for Single Cell AnalysisXiaoqing Cheng, Chang Yan, Hao Jiang 0009, Yushan Qiu. 66-76 [doi]
- mzMD: A New Storage and Retrieval System for Mass Spectrometry DataRunmin Yang, Jingjing Ma, Shu Zhang, Yu Zheng, Lusheng Wang, Daming Zhu. 77-86 [doi]
- Drug-Target Interaction Prediction via Multiple Output Graph Convolutional NetworksQing Ye, Xiaolong Zhang 0002, Xiaoli Lin. 87-99 [doi]
- Inversion of k-Nearest Neighbours Algorithm for Extracting SNPs Discriminating Human PopulationsHaihua Gu, Xiaojun Ding. 100-108 [doi]
- ComPAT: A Comprehensive Pathway Analysis ToolsXiaojie Su, Chao Song, Chenchen Feng, Yu Gao, Ziyu Ning, Qiuyu Wang, Jiaxin Chen, Yuexin Zhang, Ling Wei, Xinyuan Zhou, Chunquan Li 0002. 109-120 [doi]
- Incorporating Knowledge Base for Deep Classification of Fetal Heart RateChangping Ji, Min Fang, Jie Chen 0027, Muhammad Umair Raza, Jianqiang Li 0001. 121-131 [doi]
- Review of Methods for Data Collection Experiments with People with Dementia and the Impact of COVID-19Matthew Harper, Fawaz Ghali, Abir Hussain, Dhiya Al-Jumeily. 132-147 [doi]
- KGRN: Knowledge Graph Relational Path Network for Target Prediction of TCM PrescriptionsZhuo Gong, Naixin Zhang, Jieyue He. 148-161 [doi]
- Challenges in Data Capturing and Collection for Physiological Detection of Dementia-Related Difficulties and Proposed SolutionsMatthew Harper, Fawaz Ghali, Abir Hussain, Dhiya Al-Jumeily. 162-173 [doi]
- Exploring Multi-scale Temporal and Spectral CSP Feature for Multi-class Motion Imagination Task ClassificationJian-Xun Mi, Rong-Feng Li, Guo Chen. 174-184 [doi]
- Gingivitis Detection by Wavelet Energy Entropy and Linear Regression ClassifierYan Yan. 185-197 [doi]
- Decomposition-and-Fusion Network for HE-Stained Pathological Image ClassificationRui Yan, Jintao Li 0001, S. Kevin Zhou, Zhilong Lv, Xueyuan Zhang, Xiaosong Rao, Chunhou Zheng, Fei Ren, Fa Zhang 0001. 198-207 [doi]
- A Novel Approach for Predicting Microbe-Disease Associations by Structural Perturbation MethodYue Liu, Shu-Lin Wang. 211-221 [doi]
- A Reinforcement Learning-Based Model for Human MicroRNA-Disease Association PredictionLinqian Cui, You Lu 0004, Qiming Fu, Jiacheng Sun, Xiao Xu, Yijie Ding, Hongjie Wu. 222-230 [doi]
- Delineating QSAR Descriptors to Explore the Inherent Properties of Naturally Occurring Polyphenols, Responsible for Alpha-Synuclein Amyloid Disaggregation Scheming Towards Effective Therapeutics Against Parkinson's DisorderChandrasekhar Gopalakrishnan, Caixia Xu, Pengyong Han, Rajasekaran Ramalingam, ZhengWei Li. 231-241 [doi]
- Study on the Mechanism of Cistanche in the Treatment of Colorectal Cancer Based on Network PharmacologyYuan Dong, Caixia Xu, Chenxia Ren, Pengyong Han, Fei Ren, ZhengWei Li, Zibai Wei. 242-252 [doi]
- A Novel Hybrid Machine Learning Approach Using Deep Learning for the Prediction of Alzheimer Disease Using Genome DataA. Alatrany, Abir Hussain, Jamila Mustafina, Dhiya Al-Jumeily. 253-266 [doi]
- Prediction of Heart Disease Probability Based on Various Body FunctionWentian Yin, Yanwen Yao, Yujian Gu, Wenzheng Bao, Honglin Cheng. 267-275 [doi]
- Classification of Pulmonary Diseases from X-ray Images Using a Convolutional Neural NetworkAdrián Trueba-Espinosa, Jessica Sánchez-Arrazola, Jair Cervantes, Farid García-Lamont. 276-289 [doi]
- Predicting LncRNA-Disease Associations Based on Tensor Decomposition MethodXinguo Lu, Yue Yuan, Guanyuan Chen, Jinxin Li, Kaibao Jiang. 290-300 [doi]
- AI in Skin Cancer DetectionHaya Al-Askar, Rasul Almurshedi, Jamila Mustafina, Dhiya Al-Jumeily, Abir Hussain. 301-311 [doi]
- miRNA-Disease Associations Prediction Based on Neural Tensor DecompositionYi Liu, Jiawei Luo, Hao Wu. 312-323 [doi]
- SHDC: A Method of Similarity Measurement Using Heat Kernel Based on Denoising for Clustering scRNA-seq DataJianping Zhao, Hai-Yun Wang, Chun-Hou Zheng. 327-335 [doi]
- Research on RNA Secondary Structure Prediction Based on MLPWeizhong Lu, Xiaoyi Chen, Yu Zhang, Hongjie Wu, Jiawei Shen, Nan Zhou, Yijie Ding. 336-344 [doi]
- Inference of Gene Regulatory Network from Time Series Expression Data by Combining Local Geometric Similarity and Multivariate RegressionGuangyi Chen, Zhi-Ping Liu. 345-355 [doi]
- Deep Convolution Recurrent Neural Network for Predicting RNA-Protein Binding Preference in mRNA UTR RegionZhen Shen, Yanling Shao, Lin Yuan. 356-363 [doi]
- Joint Association Analysis Method to Predict Genes Related to Liver CancerLin Yuan, Zhen Shen. 364-373 [doi]
- A Hybrid Deep Neural Network for the Prediction of In-Vivo Protein-DNA Binding by Combining Multiple-Instance LearningYue Zhang, Yuehui Chen, Wenzheng Bao, Yi Cao. 374-384 [doi]
- Using Deep Learning to Predict Transcription Factor Binding Sites Combining Raw DNA Sequence, Evolutionary Information and Epigenomic DataYouhong Xu, Qinghu Zhang, Zhanheng Chen, Chang-an Yuan 0001, Xiao Qin 0005, Hongjie Wu. 385-395 [doi]
- An Abnormal Gene Detection Method Based on SeleneQiang Zhang, Yizhang Jiang. 396-406 [doi]
- A Method for Constructing an Integrative Network of Competing Endogenous RNAsSeokwoo Lee, Wook Lee, Shulei Ren, Kyungsook Han. 407-420 [doi]
- Detection of Drug-Drug Interactions Through Knowledge Graph Integrating Multi-attention with Capsule NetworkXiao-Rui Su, Zhu-Hong You, Hai-Cheng Yi, Bo-Wei Zhao. 423-432 [doi]
- SCEC: A Novel Single-Cell Classification Method Based on Cell-Pair Ensemble LearningWei Fan, Haonan Peng, Siyin Luo, Chujie Fang, Yuanyuan Li. 433-444 [doi]
- ICNNMDA: An Improved Convolutional Neural Network for Predicting MiRNA-Disease AssociationsRui-Kang Ni, Zhen Gao, Cunmei Ji. 445-457 [doi]
- DNA-GCN: Graph Convolutional Networks for Predicting DNA-Protein BindingYuhang Guo, Xiao Luo, Liang Chen, Minghua Deng. 458-466 [doi]
- Weighted Nonnegative Matrix Factorization Based on Multi-source Fusion Information for Predicting CircRNA-Disease AssociationsMei-Neng Wang, Xue-Jun Xie, Zhuhong You, Leon Wong, LiPing Li, Zhan-Heng Chen. 467-477 [doi]
- ScSSC: Semi-supervised Single Cell Clustering Based on 2D EmbeddingNaile Shi, Yulin Wu, LinLin Du, Bo Liu 0023, Yadong Wang, Junyi Li. 478-489 [doi]
- SNEMO: Spectral Clustering Based on the Neighborhood for Multi-omics DataQi Guan, Jianping Zhao, Chunhou Zheng. 490-498 [doi]
- Covid-19 Detection by Wavelet Entropy and JayaWei Wang. 499-508 [doi]
- An Ensemble Learning Algorithm for Predicting HIV-1 Protease Cleavage SitesZhenfeng Li, Pengwei Hu, Lun Hu. 509-521 [doi]
- RWRNCP: Random Walking with Restart Based Network Consistency Projection for Predicting miRNA-Disease AssociationMing-Wen Zhang, Yu-Tian Wang, Zhen Gao, Lei Li, Jian-Cheng Ni, Chun-Hou Zheng. 522-535 [doi]
- MELPMDA: A New Method Based on Matrix Enhancement and Label Propagation for Predicting miRNA-Disease AssociationZhen-Wei Zhang, Zhen Gao, Chun-Hou Zheng, Yu-Tian Wang, Su-Min Qi. 536-548 [doi]
- Prognostic Prediction for Non-small-Cell Lung Cancer Based on Deep Neural Network and Multimodal DataZhongsi Zhang, Fei Xu, Han-Jing Jiang, Zhan-Heng Chen. 549-560 [doi]
- Drug-Target Interactions Prediction with Feature Extraction Strategy Based on Graph Neural NetworkAoxing Li, Xiaoli Lin, Minqi Xu, Haiping Yu. 561-569 [doi]
- CNNEMS: Using Convolutional Neural Networks to Predict Drug-Target Interactions by Combining Protein Evolution and Molecular Structures InformationXin Yan, Zhu-Hong You, Lei Wang 0121, Peng-Peng Chen. 570-579 [doi]
- A Multi-graph Deep Learning Model for Predicting Drug-Disease AssociationsBo-Wei Zhao, Zhu-Hong You, Lun Hu, Leon Wong, Bo-Ya Ji, Ping Zhang. 580-590 [doi]
- Predicting Drug-Disease Associations Based on Network Consistency ProjectionQiang Zhang, Zonglan Zuo, Rui Yan, Chunhou Zheng, Fa Zhang 0001. 591-602 [doi]
- An Efficient Computational Method to Predict Drug-Target Interactions Utilizing Matrix Completion and Linear Optimization MethodXinguo Lu, Fang Liu, Jinxin Li, Keren He, Kaibao Jiang, Changlong Gu. 603-614 [doi]
- Protein-Protein Interaction Prediction by Integrating Sequence Information and Heterogeneous Network RepresentationXiao-Rui Su, Zhu-Hong You, Zhan-Heng Chen, Hai-Cheng Yi, Zhen-Hao Guo. 617-626 [doi]
- DNA-Binding Protein Prediction Based on Deep Learning Feature FusionShixuan Guan, Tengsheng Jiang, Weizhong Lu, Qiming Fu, Haiou Li, Hongjie Wu. 627-633 [doi]
- Membrane Protein Identification via Multiple Kernel Fuzzy SVMWeizhong Lu, Jiawei Shen, Yuqing Qian, Hongjie Wu, Yijie Ding, Xiaoyi Chen. 634-646 [doi]
- Golgi Protein Prediction with Deep ForestYanwen Yao, Yujian Gu, Wenzheng Bao, Lei Zhang, Yonghong Zhu. 647-653 [doi]
- Prediction of Protein-Protein Interaction Based on Deep Learning Feature Representation and Random ForestWenzheng Ma, Wenzheng Bao, Yi Cao, Bin Yang 0017, Yuehui Chen. 654-662 [doi]