| 811 | -- | 813 | Feng Gao 0001, Kun Huang 0001, Yi Xing. Artificial Intelligence in Omics |
| 814 | -- | 835 | Matthew Brendel, Chang Su 0002, Zilong Bai, Hao Zhang 0050, Olivier Elemento, Fei Wang 0001. Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review |
| 836 | -- | 849 | Stefan Stanojevic, Yijun Li, Aleksandar Ristivojevic, Lana X. Garmire. Computational Methods for Single-cell Multi-omics Integration and Alignment |
| 850 | -- | 866 | Yawei Li, Xin Wu, Ping Yang, Guoqian Jiang, Yuan Luo 0001. Machine Learning for Lung Cancer Diagnosis, Treatment, and Prognosis |
| 867 | -- | 881 | Yuguo Zha, Hui Chong, Pengshuo Yang, Kang Ning 0001. Microbial Dark Matter: from Discovery to Applications |
| 882 | -- | 898 | Wubing Zhang, Shourya S. Roy Burman, Jiaye Chen, Katherine A. Donovan, Yang Cao, Chelsea Shu, Boning Zhang, Zexian Zeng, Shengqing Gu, Yi Zhang 0055, Dian Li, Eric S. Fischer, Collin Tokheim, X. Shirley Liu. Machine Learning Modeling of Protein-intrinsic Features Predicts Tractability of Targeted Protein Degradation |
| 899 | -- | 911 | Yongbing Zhao, Jinfeng Shao, Yan W. Asmann. Assessment and Optimization of Explainable Machine Learning Models Applied to Transcriptomic Data |
| 912 | -- | 927 | Alexandra J. Lee, Dallas L. Mould, Jake Crawford, Dongbo Hu, Rani K. Powers, Georgia Doing, James C. Costello, Deborah A. Hogan, Casey S. Greene. SOPHIE: Generative Neural Networks Separate Common and Specific Transcriptional Responses |
| 928 | -- | 938 | Shao-Wu Zhang 0001, Jing-Yu Xu, Tong Zhang. DGMP: Identifying Cancer Driver Genes by Jointing DGCN and MLP from Multi-omics Genomic Data |
| 939 | -- | 958 | Hui Wan, Liang Chen, Minghua Deng. scEMAIL: Universal and Source-free Annotation Method for scRNA-seq Data with Novel Cell-type Perception |
| 959 | -- | 973 | Juexiao Zhou, Bin Zhang 0042, Haoyang Li, Longxi Zhou, Zhongxiao Li, Yongkang Long, Wenkai Han, Meng-Ran Wang, Huanhuan Cui, Jingjing Li, Wei Chen 0029, Xin Gao 0001. Annotating TSSs in Multiple Cell Types Based on DNA Sequence and RNA-seq Data via DeeReCT-TSS |
| 974 | -- | 988 | Yiran Shan, Qian Zhang, Wenbo Guo 0010, Yanhong Wu, Yuxin Miao, Hongyi Xin, Qiuyu Lian, Jin Gu. TIST: Transcriptome and Histopathological Image Integrative Analysis for Spatial Transcriptomics |
| 989 | -- | 1001 | Sen Yang, Tao Shen, Yuqi Fang, Xiyue Wang, Jun Zhang 0018, Wei Yang, JunZhou Huang, Xiao Han. DeepNoise: Signal and Noise Disentanglement Based on Classifying Fluorescent Microscopy Images via Deep Learning |
| 1002 | -- | 1012 | Hao-Dong Xu, Zhongming Zhao. NetBCE: An Interpretable Deep Neural Network for Accurate Prediction of Linear B-cell Epitopes |
| 1013 | -- | 1027 | Yi-Heng Zhu, Chengxin Zhang, Yan Liu 0038, Gilbert S. Omenn, Peter L. Freddolino, Dong-jun Yu, Yang Zhang 0040. TripletGO: Integrating Transcript Expression Profiles with Protein Homology Inferences for Gene Function Prediction |
| 1028 | -- | 1036 | Zhiting Wei, Sheng Zhu, Xiaohan Chen, Chen-Yu Zhu, Bin Duan, Qi Liu 0019. DrSim: Similarity Learning for Transcriptional Phenotypic Drug Discovery |