A new dynamic correlation algorithm reveals novel functional aspects in single cell and bulk RNA-seq data von Yu, Tianwei

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A Deep Neural Network Model using Random Forest to Extract Feature Representation for Gene Expression Data Classification von Kong, Yunchuan, Yu, Tianwei

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A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data von Kong, Yunchuan, Yu, Tianwei

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AIME: Autoencoder-based integrative multi-omics data embedding that allows for confounder adjustments von Yu, Tianwei

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forgeNet: a graph deep neural network model using tree-based ensemble classifiers for feature graph construction von Kong, Yunchuan, Yu, Tianwei

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ROCS: receiver operating characteristic surface for class-skewed high-throughput data von Yu, Tianwei

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A hypergraph-based method for large-scale dynamic correlation study at the transcriptomic scale von Kong, Yunchuan, Yu, Tianwei

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apLCMS—adaptive processing of high-resolution LC/MS data von Yu, Tianwei, Park, Youngja, Johnson, Jennifer M., Jones, Dean P.

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An Attention Cascade Global–Local Network for Remote Sensing Scene Classification von Shen, Junge, Yu, Tianwei, Yang, Haopeng, Wang, Ruxin, Wang, Qi

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An exploratory data analysis method to reveal modular latent structures in high-throughput data von Yu, Tianwei

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xMSanalyzer: automated pipeline for improved feature detection and downstream analysis of large-scale, non-targeted metabolomics data von Uppal, Karan, Soltow, Quinlyn A, Strobel, Frederick H, Pittard, W Stephen, Gernert, Kim M, Yu, Tianwei, Jones, Dean P

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Metabolic Phenotypes of Response to Vaccination in Humans von Li, Shuzhao, Sullivan, Nicole L., Rouphael, Nadine, Yu, Tianwei, Banton, Sophia, Maddur, Mohan S., McCausland, Megan, Chiu, Christopher, Canniff, Jennifer, Dubey, Sheri, Liu, Ken, Tran, ViLinh, Hagan, Thomas, Duraisingham, Sai, Wieland, Andreas, Mehta, Aneesh K., Whitaker, Jennifer A., Subramaniam, Shankar, Jones, Dean P., Sette, Alessandro, Vora, Kalpit, Weinberg, Adriana, Mulligan, Mark J., Nakaya, Helder I., Levin, Myron, Ahmed, Rafi, Pulendran, Bali

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Bayesian nonparametric method for genetic dissection of brain activation region von Jin, Zhuxuan, Kang, Jian, Yu, Tianwei

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Perturbations of the arginine metabolome following exposures to traffic-related air pollution in a panel of commuters with and without asthma von Liang, Donghai, Ladva, Chandresh N., Golan, Rachel, Yu, Tianwei, Walker, Douglas I., Sarnat, Stefanie E., Greenwald, Roby, Uppal, Karan, Tran, ViLinh, Jones, Dean P., Russell, Armistead G., Sarnat, Jeremy A.

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Few‐shot action recognition using task‐adaptive parameters von Zong, Pengcheng, Chen, Peng, Yu, Tianwei, Yan, Lingqiang, Huan, Ruohong

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Transcriptomic dissection of tongue squamous cell carcinoma von Ye, Hui, Yu, Tianwei, Temam, Stephane, Ziober, Barry L, Wang, Jianguang, Schwartz, Joel L, Mao, Li, Wong, David T, Zhou, Xiaofeng

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Graph Random Forest: A Graph Embedded Algorithm for Identifying Highly Connected Important Features von Tian, Leqi, Wu, Wenbin, Yu, Tianwei

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Bayesian network feature finder (BANFF): an R package for gene network feature selection von Lan, Zhou, Zhao, Yize, Kang, Jian, Yu, Tianwei

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Addressing the batch effect issue for LC/MS metabolomics data in data preprocessing von Liu, Qin, Walker, Douglas, Uppal, Karan, Liu, Zihe, Ma, Chunyu, Tran, ViLinh, Li, Shuzhao, Jones, Dean P., Yu, Tianwei

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G3DC: A Gene-Graph-Guided Selective Deep Clustering Method for Single Cell RNA-seq Data von He, Shuqing, Fan, Jicong, Yu, Tianwei

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