Extendable and explainable deep learning for pan-cancer radiogenomics research von Liu, Qian, Hu, Pingzhao

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ChrNet: A re-trainable chromosome-based 1D convolutional neural network for predicting immune cell types von Jia, Shuo, Hu, Pingzhao

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DTF: Deep Tensor Factorization for predicting anticancer drug synergy von Sun, Zexuan, Huang, Shujun, Jiang, Peiran, Hu, Pingzhao

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Tumor-Infiltrating CD8 T Cells Predict Clinical Breast Cancer Outcomes in Young Women von Jin, Yong Won, Hu, Pingzhao

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ST-CellSeg: Cell segmentation for imaging-based spatial transcriptomics using multi-scale manifold learning von Li, Youcheng, Lac, Leann, Liu, Qian, Hu, Pingzhao

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Association Analysis of Deep Genomic Features Extracted by Denoising Autoencoders in Breast Cancer von Liu, Qian, Hu, Pingzhao

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NNICE: a deep quantile neural network algorithm for expression deconvolution von Jin, Yong Won, Hu, Pingzhao, Liu, Qian

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Predicting drug-target interaction network using deep learning model von You, Jiaying, McLeod, Robert D., Hu, Pingzhao

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Tightly integrated multiomics-based deep tensor survival model for time-to-event prediction von Zhang, Jasper Zhongyuan, Xu, Wei, Hu, Pingzhao

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YOLO-LOGO: A transformer-based YOLO segmentation model for breast mass detection and segmentation in digital mammograms von Su, Yongye, Liu, Qian, Xie, Wentao, Hu, Pingzhao

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A Two-Dimensional Sparse Matrix Profile DenseNet for COVID-19 Diagnosis Using Chest CT Images von Liu, Qian, Leung, Carson K., Hu, Pingzhao

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SNVer: a statistical tool for variant calling in analysis of pooled or individual next-generation sequencing data von Wei, Zhi, Wang, Wei, Hu, Pingzhao, Lyon, Gholson J., Hakonarson, Hakon

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Computational Drug Repurposing for Alzheimer’s Disease Using Risk Genes From GWAS and Single-Cell RNA Sequencing Studies von Xu, Yun, Kong, Jiming, Hu, Pingzhao

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Intrinsic BET inhibitor resistance in SPOP-mutated prostate cancer is mediated by BET protein stabilization and AKT–mTORC1 activation von Zhang, Pingzhao, Wang, Dejie, Zhao, Yu, Ren, Shancheng, Gao, Kun, Ye, Zhenqing, Wang, Shangqian, Pan, Chun-Wu, Zhu, Yasheng, Yan, Yuqian, Yang, Yinhui, Wu, Di, He, Yundong, Zhang, Jun, Lu, Daru, Liu, Xiuping, Yu, Long, Zhao, Shimin, Li, Yao, Lin, Dong, Wang, Yuzhuo, Wang, Liguo, Chen, Yu, Sun, Yinghao, Wang, Chenji, Huang, Haojie

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Self-supervised deep learning model for COVID-19 lung CT image segmentation highlighting putative causal relationship among age, underlying disease and COVID-19 von Fung, Daryl L. X, Liu, Qian, Zammit, Judah, Leung, Carson Kai-Sang, Hu, Pingzhao

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SPOP mutation induces DNA methylation via stabilizing GLP/G9a von Zhang, Jianong, Gao, Kun, Xie, Hongyan, Wang, Dejie, Zhang, Pingzhao, Wei, Ting, Yan, Yuqian, Pan, Yunqian, Ye, Wenbin, Chen, Huifen, Shi, Qing, Li, Yao, Zhao, Shi-min, Hou, Xiaonan, Weroha, Saravut J., Wang, Yuzhuo, Zhang, Jun, Karnes, R. Jeffrey, He, Housheng Hansen, Wang, Liguo, Wang, Chenji, Huang, Haojie

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Identification of significantly mutated subnetworks in the breast cancer genome von Ajwad, Rasif, Domaratzki, Michael, Liu, Qian, Feizi, Nikta, Hu, Pingzhao

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Deep clustering of small molecules at large-scale via variational autoencoder embedding and K-means von Hadipour, Hamid, Liu, Chengyou, Davis, Rebecca, Cardona, Silvia T, Hu, Pingzhao

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SPOP mutations promote p62/SQSTM1-dependent autophagy and Nrf2 activation in prostate cancer von Shi, Qing, Jin, Xiaofeng, Zhang, Pingzhao, Li, Qian, Lv, Zeheng, Ding, Yan, He, Huiying, Wang, Yijun, He, Yuanlong, Zhao, Xiaying, Zhao, Shi-Min, Li, Yao, Gao, Kun, Wang, Chenji

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A machine learning model trained on a high-throughput antibacterial screen increases the hit rate of drug discovery von Rahman, A. S. M. Zisanur, Liu, Chengyou, Sturm, Hunter, Hogan, Andrew M, Davis, Rebecca, Hu, Pingzhao, Cardona, Silvia T

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