0 | -- | 0 | Jun Hu, Yu Zhou, Wen-yi Zhang, Xiao-gen Zhou. RLEAAI: improving antibody-antigen interaction prediction using protein language model and sequence order information |
0 | -- | 0 | Bingying Luo, Fei Teng, Guo Tang, Weixuan Cen, Xing Liu, Jinmiao Chen, Chi Qu, Xuanzhu Liu, Xin Liu, Wenyan Jiang, Huaqiang Huang, Yu Feng, Xue Zhang, Min Jian, Mei Li, Feng Xi, Guibo Li, Sha Liao, Ao Chen, Weimiao Yu, Xun Xu, Jiajun Zhang. StereoMM: a graph fusion model for integrating spatial transcriptomic data and pathological images |
0 | -- | 0 | Xin Li, Fan Yang, Yibo Zhang, Zijian Yang, Ruanqi Chen, Meng Zhou 0003, Lin Yang. DeepTFtyper: an interpretable morphology-aware graph neural network for translating histopathology images into molecular subtypes in small cell lung cancer |
0 | -- | 0 | Yuehua Ou, Qiyi Chen, Ningyu Zhong, Zhihua Du. ProtPhage: a deep learning framework for phage viral protein identification and functional annotation |
0 | -- | 0 | Fei Ye, Mao Chen, Yixuan Huang, Ruihao Zhang, Xuqi Li, Xiuyuan Wang, Sanyang Han, Lan Ma, Xiao Liu. LightCTL: lightweight contrastive TCR-pMHC specificity learning with context-aware prompt |
0 | -- | 0 | Zehua Sun, Jing Xu, Yumeng Zhang, Yiwen Zhang, Zhikang Wang, Xiaoyu Wang 0016, Shanshan Li, Yuming Guo 0001, Hsin-Hui Shen, Jiangning Song. Multimodal geometric learning for antimicrobial peptide identification by leveraging alphafold2-predicted structures and surface features |
0 | -- | 0 | Xichen Liao, Qi Liu, Guohui Chuai. PrimeNet: rational design of Prime editing pegRNAs by deep learning |
0 | -- | 0 | Kanglin Hsieh, Kai Zhang, Yan Chu, Lishan Yu, Xiaoyang Li, Nuo Hu, Isha Kawosa, Patrick G. Pilié, Pratip K. Bhattacharya, Degui Zhi, Xiaoqian Jiang, Zhongming Zhao, Yulin Dai. iGTP: learning interpretable cellular embedding for inferring biological mechanisms underlying single-cell transcriptomics |
0 | -- | 0 | Chen Chen, Yong Xu, Jian Ouyang, Xiangyi Xiong, Pawel P. Labaj, Agnieszka Chmielarczyk, Anna Rózanska, Hao Zhang, Keyang Liu, Tieliu Shi, Jun Wu. VirulentHunter: deep learning-based virulence factor predictor illuminates pathogenicity in diverse microbial contexts |
0 | -- | 0 | Asish Kumar Swain, Rajveer Singh Shekhawat, Pankaj Yadav. ScInfeR: an efficient method for annotating cell types and sub-types in single-cell RNA-seq, ATAC-seq, and spatial omics |
0 | -- | 0 | Yangyang Wang, Xinyu Yue, Shenghan Lou, Peinan Feng, Binbin Cui, Yanlong Liu. Gene Swin transformer: new deep learning method for colorectal cancer prognosis using transcriptomic data |
0 | -- | 0 | Yuxin Lin, Zongming Jia, Jixiang Wu, Hubo Yang, Xin Chen, He Wang, Xuedong Wei, Wenying Yan, Xin Qi, Yuhua Huang. Knowledge-guided multi-level network modeling with experimental characterization identifies PRKCA as a novel biomarker and tumor suppressor triggering ferroptosis in prostate cancer |
0 | -- | 0 | Lauren Theunissen, Thomas Mortier, Yvan Saeys, Willem Waegeman. Evaluation of out-of-distribution detection methods for data shifts in single-cell transcriptomics |
0 | -- | 0 | Tae-Hyun Kim, Harim Kim, Hyunjin Hwang, Shinwhan Kang, Kijung Shin, Inwha Baek. Gene expression inference based on graph neural networks using L1000 data |
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0 | -- | 0 | Fulan Deng, Jiawei Zou, Miaochen Wang, Yida Gu, Jiale Wu, Lianchong Gao, Yuan Ji, Henry H. Y. Tong, Jie Chen, Wantao Chen, Lianjiang Tan, Yaoqing Chu, Xin Zou, Jie Hao. DECEPTICON: a correlation-based strategy for RNA-seq deconvolution inspired by a variation of the Anna Karenina principle |
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0 | -- | 0 | . Correction to: DOMSCNet: a deep learning model for the classification of stomach cancer using multi-layer omics data |
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0 | -- | 0 | Zhiwei Cheng, Yongyong Ren, Xinbo Wang, Yuening Zhang, Yingqi Hua, Hongyu Zhao 0003, Hui Lu 0004. A novel prognostic framework for HBV-infected hepatocellular carcinoma: insights from ferroptosis and iron metabolism proteomics |
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