Deep Learning in Cancer

• 5465 · PDF 通过训练可扩展的深度神经网络从游离DNA中提取肿瘤信号以改善癌症早期检测 Improving early cancer detection by training scalable deep neural networks to extract tumor signal from cell-free DNA Jackson A. Killian, Kade Pettie, Kyle Gowen, Shiva Farashahi, Esther Brown, Feras Hantash, Jocelyn Charlton, Franziska Michor, Kieran I. Chacko, Dorna Kashef
• 5467 · PDF 将细胞内和细胞间基因-基因相互作用整合到深度组学数据分析中以增强单细胞癌症生物学研究 Integrating intra- and inter-cell gene-gene interactions into deep omics data analysis for enhanced single-cell cancer biology Qingyue Wei, Sheng Liu, Chuanbao Zhang, Zixia Zhou, Wei Emma Wu, Md Tauhidul Islam, Lei Xing
• 5468 · PDF 基于深度学习的分析利用单细胞PBMC染色质图像揭示患者层面的质子放射治疗轨迹 Deep learning-based analysis reveals patient-level proton radiation therapy trajectories using single-cell PBMC chromatin images Hannah M. Schlüter, Trinadha Rao Sornapudi, Dominic Leiser, Sandra Koller, Zeynep Karavelioglu, Caroline Uhler, Damien Weber, G. V. Shivashankar
• 5469 · PDF 基于AI分诊三维病理的数据高效形态学深度学习用于细粒度Gleason分级 Data-efficient morphological deep learning for fine-grained Gleason grading based on AI-triaged 3D pathology Renao Yan, Gan Gao, Andrew Song, Huai-Ching Hsieh, Yujie Zhao, Cristina Almagro-Pérez, Lawrence D. True, Faisal Mahmood, Priti Lal, Anant Madabhushi, Jonathan TC Liu
• 5470 · PDF 用于从H&E全玻片图像快速预测HER2状态的低倍率深度学习模型 Low-magnification deep learning model for rapid HER2 status prediction from H&E whole-slide images Ziyu Su, Abdul Rehman Akbar, Usama Sajjad, Sansar Babu Tiwari, Elshad Hasanov, Arya Mariam Roy, Zaibo Li, Daniel G. Stover, Muhammad Khalid Khan Niazi
• 5471 · PDF Genie-ADLA：一种用于基于甲基化的多癌种早期检测（MCED）的深度学习算法 Genie-ADLA: A deep learning algorithm for methylation-based multiple cancer early detection (MCED) Kezhong Chen, Ziyu Li, Xiaojian Wu, Jian Huang, Guoyue Lv, Weiping Wen, Dahong Zhang, Xiangyu Zhao, Danbo Wang, Zhihua Liu, Lixin Sun, Shu Wang, Xiangnan Li, Zhigang Li, Jiandong Tai, Jiayin Yang, Zhentong Wei, Ming Cai, Qiang Zhang, Songbing He, Shuhua Yi, Shenhong Qu, Wenhui Zhao, Xianjun Yu, Ruixia Guo, Jianhong Lian, Desong Yang, Huaiwu Lu, Xi Guo, Yan Zhang, Zhuowei Liu, Yingjiang Ye, Chang Lin, Jie Gao, Xuanhui Liu, Yushu Guo, Suying Ding, Guoqiang Zhao, Yanzhan Yang, Jiangyu Li, Shiqing Chen, Hui Yu, Fang Liu, Yang Wang, Min Li, Baoliang Zhu, Yonghui Li, Xiaohui Wu, Fan Yang, Jun Wang
• 5472 · PDF 深度学习通过对660万个单细胞扰动的潜在空间建模揭示脑-肠轴上隐藏的泛癌药物特征 Deep learning reveals hidden pan-cancer drug signatures across the brain-gut axis through latent space modeling of 6.6 million single-cell perturbations Noha Samir Ismail, Kourosh Salehi-Ashtiani
• 5473 · PDF 一种从明场图像中提取全面单细胞生物物理特征谱的深度学习框架 A deep learning framework for extracting comprehensive single-cell biophysical profiles from brightfield images Nicholas Calistri, Selim Olcum, Robert Kimmerling, Steven Wasserman, Rachel LaBella, Madeleine Vacha, Katelin Katsis, Reginald Aikins, Maria Ssozi
• 5474 · PDF 使用体模训练模型并应用于人体数据的Dyna-Q强化学习用于乳腺肿瘤恶性程度分类 Dyna-Q Reinforcement Learning for breast tumor malignancy classification using phantom-trained models applied to human data Chang-hee Won, Arpita Das, Dina Caroline
• 5476 · PDF GLEAM：让高质量机器学习在癌症研究中普及化 GLEAM: Democratizing high-quality machine learning for cancer research Paulo Cilas Morais Lyra Junior, Junhao Qiu, Khai Dang, Alyssa Pybus, Maansi Singh, Qiang Gu, Luke Sargent, Allison L. Creason, Jeremy Goecks
• 5477 · PDF AI驱动的从头设计靶向突变型p53肽-MHC-I复合物的微型蛋白用于癌症免疫治疗 AI-driven de novo design of miniproteins targeting mutant p53 peptide-MHC-I complex for cancer immunotherapy Fengze Jin, Puja Singh, Hanyong Chen, Christopher Warlick, Yibin Deng
• 5478 · PDF 在批量RNA-Seq数据上对基因表达基础模型进行基准测试 Benchmarking gene expression foundation models on bulk RNA-Seq data Jong Hyun Kim, Sunwoo Yu, Soonyoung Lee, Tae Hyun Hwang, Jongseong Jang, Janghyeon Lee
• 5479 · PDF 用于合成临床生物流体中蒽环类药物检测的光学光谱指纹识别 Optical spectral fingerprinting for anthracycline detection in synthetic clinical biofluids Atara R. Israel, Yunjung Kim, Adnan Arnaout, Myesha Thahsin, Yumna Ahmed, Zachary Cohen, Amelia Ryan, Syeda Rahman, Mijin Kim, Ryan Williams
• 5480 · PDF 人工智能设计的肽PROTAC通过调控PD-L1棕榈酰化抑制TNBC Artificial intelligence-designed peptide PROTACs suppress TNBC by regulating PD-L1 palmitoylation Miao Liu
• 5481 · PDF 使用通路知情的Transformer学习化疗反应的机制 Learning the mechanisms of chemotherapy response using a pathway-informed transformer Zach Wallace, Ingoo Lee, Nicole M. Mattson, Sungjoon Park, Akshat Singhal, Xiaoyu Zhao, Trey Ideker
• 5482 · PDF MethylFM：一种用于建模表观基因组调控动态的DNA甲基化基础模型 MethylFM: A DNA methylation foundation model for modeling epigenomic regulatory dynamics Limeng Pu, Xiang Chen
• 5483 · PDF 利用Cflows揭示动态时间轨迹及其潜在的调控网络 Revealing dynamic temporal trajectories and underlying regulatory networks with Cflows Shabarni Gupta, Xingzhi Sun, Alexander Tong, Manik Kuchroo, Dhananjay Bhaskar, Chen Liu, Aarthi Venkat, Beatriz P. San Juan, Laura Rangel, Vanina Rodriguez, John G. Lock, Christine Louise Chaffer, Smita Krishnaswamy
• 5484 · PDF 设计ATP门控蛋白用于肿瘤选择性药物递送 Designing ATP-gated proteins for tumor selective drug delivery Angela Mei, Azim Dharani, Jody Mou, Benjamin Fry, Nicholas Polizzi

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