Identifying drug–target interactions based on graph convolutional network and deep neural network von Zhao, Tianyi, Hu, Yang, Valsdottir, Linda R, Zang, Tianyi, Peng, Jiajie

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CNN-DDI: a learning-based method for predicting drug-drug interactions using convolution neural networks von Zhang, Chengcheng, Lu, Yao, Zang, Tianyi

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A multi-network integration approach for measuring disease similarity based on ncRNA regulation and heterogeneous information von Zhang, Ningyi, Zang, Tianyi

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DRACP: a novel method for identification of anticancer peptides von Zhao, Tianyi, Hu, Yang, Zang, Tianyi

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Identifying diseases-related metabolites using random walk von Hu, Yang, Zhao, Tianyi, Zhang, Ningyi, Zang, Tianyi, Zhang, Jun, Cheng, Liang

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Integrate GWAS, eQTL, and mQTL Data to Identify Alzheimer's Disease-Related Genes von Zhao, Tianyi, Hu, Yang, Zang, Tianyi, Wang, Yadong

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Identifying Alzheimer's disease-related proteins by LRRGD von Zhao, Tianyi, Hu, Yang, Zang, Tianyi, Cheng, Liang

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deSALT: fast and accurate long transcriptomic read alignment with de Bruijn graph-based index von Liu, Bo, Liu, Yadong, Li, Junyi, Guo, Hongzhe, Zang, Tianyi, Wang, Yadong

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Peptide-Major Histocompatibility Complex Class I Binding Prediction Based on Deep Learning With Novel Feature von Zhao, Tianyi, Cheng, Liang, Zang, Tianyi, Hu, Yang

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Identification of Alzheimer's Disease-Related Genes Based on Data Integration Method von Hu, Yang, Zhao, Tianyi, Zang, Tianyi, Zhang, Ying, Cheng, Liang

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LncDisAP: a computation model for LncRNA-disease association prediction based on multiple biological datasets von Wang, Yongtian, Juan, Liran, Peng, Jiajie, Zang, Tianyi, Wang, Yadong

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Prioritizing candidate diseases-related metabolites based on literature and functional similarity von Wang, Yongtian, Juan, Liran, Peng, Jiajie, Zang, Tianyi, Wang, Yadong

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Predicting circRNA-Disease Associations Based on circRNA Expression Similarity and Functional Similarity von Wang, Yongtian, Nie, Chenxi, Zang, Tianyi, Wang, Yadong

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Explore potential disease related metabolites based on latent factor model von Wang, Yongtian, Juan, Liran, Peng, Jiajie, Wang, Tao, Zang, Tianyi, Wang, Yadong

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Integration of multiple-omics data to reveal the shared genetic architecture of educational attainment, intelligence, cognitive performance, and Alzheimer's disease von Wang, Fuxu, Wang, Haoyan, Yuan, Ye, Han, Bing, Qiu, Shizheng, Hu, Yang, Zang, Tianyi

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Human mitochondrial genome compression using machine learning techniques von Wang, Rongjie, Zang, Tianyi, Wang, Yadong

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Identifying Protein Biomarkers in Blood for Alzheimer's Disease von Zhao, Tianyi, Hu, Yang, Zang, Tianyi, Wang, Yadong

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Prediction for High Risk Clinical Symptoms of Epilepsy Based on Deep Learning Algorithm von Sun, Mingrui, Wang, Fuxu, Min, Tengfei, Zang, Tianyi, Wang, Yadong

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Enhancement and Imputation of Peak Signal Enables Accurate Cell-Type Classification in scATAC-seq von Cui, Zhe, Cui, Ya, Gao, Yan, Jiang, Tao, Zang, Tianyi, Wang, Yadong

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DeepGP: An Integrated Deep Learning Method for Endocrine Disease Gene Prediction Using Omics Data von Zhang, Ningyi, Wang, Haoyan, Xu, Chen, Zhang, Liyuan, Zang, Tianyi

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