Discovery of Relationships Between Long Non-Coding RNAs and Genes in Human Diseases Based on Tensor Completion by Chen Peng, Liang Zou, De-Shuang Huang

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WSMD: weakly-supervised motif discovery in transcription factor ChIP-seq data by Hongbo Zhang, Lin Zhu, De-Shuang Huang

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Novel human microbe-disease association prediction using network consistency projection by Wenzheng Bao, Zhichao Jiang, De-Shuang Huang

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Constructing cancer patient-specific and group-specific gene networks with multi-omics data by Wook Lee, De-Shuang Huang, Kyungsook Han

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GMean—a semi-supervised GRU and K-mean model for predicting the TF binding site by Chai Wen Chuah, Wanxian He, De-Shuang Huang

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t-LSE: a novel robust geometric approach for modeling protein-protein interaction networks. by Lin Zhu, Zhu-Hong You, De-Shuang Huang, Bing Wang

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Fast sequence analysis based on diamond sampling. by Liangxin Gao, Wenzhen Bao, Hongbo Zhang, Chang-An Yuan, De-Shuang Huang

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Classification of caesarean section and normal vaginal deliveries using foetal heart rate signals and advanced machine learning algorithms by Paul Fergus, Abir Hussain, Dhiya Al-Jumeily, De-Shuang Huang, Nizar Bouguila

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DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes. by Siguo Wang, Qinhu Zhang, Ying He, Zhen Cui, Zhenghao Guo, Kyungsook Han, De-Shuang Huang

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MV-CVIB: a microbiome-based multi-view convolutional variational information bottleneck for predicting metastatic colorectal cancer by Zhen Cui, Yan Wu, Qin-Hu Zhang, Si-Guo Wang, Ying He, De-Shuang Huang

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Predicting transcription factor binding sites using DNA shape features based on shared hybrid deep learning architecture by Siguo Wang, Qinhu Zhang, Zhen Shen, Ying He, Zhen-Heng Chen, Jianqiang Li, De-Shuang Huang

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iCircDA-NEAE: Accelerated attribute network embedding and dynamic convolutional autoencoder for circRNA-disease associations prediction by Lin Yuan, Jiawang Zhao, Zhen Shen, Qinhu Zhang, Yushui Geng, Chun-Hou Zheng, De-Shuang Huang

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IMKPse: Identification of Protein Malonylation Sites by the Key Features Into General PseAAC by Wenzheng Bao, Bin Yang, De-Shuang Huang, Dong Wang, Qi Liu, Yue-Hui Chen, Rong Bao

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iCircDA-NEAE: Accelerated attribute network embedding and dynamic convolutional autoencoder for circRNA-disease associations prediction. by Lin Yuan, Jiawang Zhao, Zhen Shen, Qinhu Zhang, Yushui Geng, Chun-Hou Zheng, De-Shuang Huang

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A Deep Learning Framework for Robust and Accurate Prediction of ncRNA-Protein Interactions Using Evolutionary Information by Hai-Cheng Yi, Zhu-Hong You, De-Shuang Huang, Xiao Li, Tong-Hai Jiang, Li-Ping Li

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Base-resolution prediction of transcription factor binding signals by a deep learning framework. by Qinhu Zhang, Ying He, Siguo Wang, Zhanheng Chen, Zhenhao Guo, Zhen Cui, Qi Liu, De-Shuang Huang

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Omnidirectional Feature Learning for Person Re-Identification by Di Wu, Hong-Wei Yang, De-Shuang Huang, Chang-An Yuan, Xiao Qin, Yang Zhao, Xin-Yong Zhao, Jian-Hong Sun

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Individualized detection of TMPRSS2-ERG fusion status in prostate cancer: a rank-based qualitative transcriptome signature by Yawei Li, Hang Su, Kaidong Liu, Zhangxiang Zhao, Yuquan Wang, Bo Chen, Jie Xia, Huating Yuan, De-Shuang Huang, Yunyan Gu

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