日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

BV-BRC: a unified bacterial and viral bioinformatics resource with expanded functionality and AI integration

BV-BRC:一个功能更强大、集成人工智能的统一细菌和病毒生物信息学资源。

Shukla, Maulik; Wattam, Alice R; Aleman, Antonio; Bhattacharya, Roshni; Bowers, Nicole; Brettin, Thomas; Capria, Anna; Chia, Nicholas; Cucinell, Clark; Davis, James J; Dempsey, Donald M; Dickerman, Allan; Dietrich, Emily M; Gokdemir, Ozan; Hendrickson, R Curtis; Kenyon, Ronald W; Klahn, Brian; Kuscuoglu, Mehmet; Lefkowitz, Elliot J; Ma, Heng; Machi, Dustin; Macken, Catherine; Mann, Carla M; Mao, Chunhong; Nguyen, Marcus; Olsen, Gary J; Olson, Robert D; Overbeek, Ross; Owens, Sarah M; Parrello, Bruce; Poretsky, Rachel; Pusch, Gordon D; Ramanathan, Arvind; Sheriff, Jamal Tyrone; Singh, Indresh; Stewart, Lucy; VanOeffelen, Margo; Vonstein, Veronika; Warren, Andrew S; Wilke, Andreas; Zmasek, Christian M; Zuniga, Abril; Stevens, Rick L

Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis

社区药物反应预测模型基准测试:跨数据集泛化分析的数据集、模型、工具和指标

Partin, Alexander; Vasanthakumari, Priyanka; Narykov, Oleksandr; Wilke, Andreas; Koussa, Natasha; Jones, Sara E; Zhu, Yitan; Overbeek, Jamie C; Jain, Rajeev; Fernando, Gayara Demini; Sanchez-Villalobos, Cesar; Garcia-Cardona, Cristina; Mohd-Yusof, Jamaludin; Chia, Nicholas; Wozniak, Justin M; Ghosh, Souparno; Pal, Ranadip; Brettin, Thomas S; Weil, M Ryan; Stevens, Rick L

Data imbalance in drug response prediction: multi-objective optimization approach in deep learning setting

药物反应预测中的数据不平衡:深度学习环境下的多目标优化方法

Narykov, Oleksandr; Zhu, Yitan; Brettin, Thomas; Evrard, Yvonne A; Partin, Alexander; Xia, Fangfang; Shukla, Maulik; Vasanthakumari, Priyanka; Doroshow, James H; Stevens, Rick L

BrainXcan identifies brain features associated with behavioral and psychiatric traits using large-scale genetic and imaging data

BrainXcan利用大规模遗传和影像数据,识别与行为和精神特征相关的大脑特征。

Liang, Yanyu; Nyasimi, Festus; Melia, Owen; Carroll, Timothy J; Brettin, Thomas; Brown, Andrew; Im, Hae Kyung

A Comprehensive Investigation of Active Learning Strategies for Conducting Anti-Cancer Drug Screening

对开展抗癌药物筛选的主动学习策略进行全面调查

Vasanthakumari, Priyanka; Zhu, Yitan; Brettin, Thomas; Partin, Alexander; Shukla, Maulik; Xia, Fangfang; Narykov, Oleksandr; Weil, Michael Ryan; Stevens, Rick L

Introducing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC): a resource combining PATRIC, IRD and ViPR

细菌和病毒生物信息学资源中心(BV-BRC)简介:该资源中心整合了 PATRIC、IRD 和 ViPR 等平台。

Olson, Robert D; Assaf, Rida; Brettin, Thomas; Conrad, Neal; Cucinell, Clark; Davis, James J; Dempsey, Donald M; Dickerman, Allan; Dietrich, Emily M; Kenyon, Ronald W; Kuscuoglu, Mehmet; Lefkowitz, Elliot J; Lu, Jian; Machi, Dustin; Macken, Catherine; Mao, Chunhong; Niewiadomska, Anna; Nguyen, Marcus; Olsen, Gary J; Overbeek, Jamie C; Parrello, Bruce; Parrello, Victoria; Porter, Jacob S; Pusch, Gordon D; Shukla, Maulik; Singh, Indresh; Stewart, Lucy; Tan, Gene; Thomas, Chris; VanOeffelen, Margo; Vonstein, Veronika; Wallace, Zachary S; Warren, Andrew S; Wattam, Alice R; Xia, Fangfang; Yoo, Hyunseung; Zhang, Yun; Zmasek, Christian M; Scheuermann, Richard H; Stevens, Rick L

Integration of Computational Docking into Anti-Cancer Drug Response Prediction Models

将计算对接技术整合到抗癌药物反应预测模型中

Narykov, Oleksandr; Zhu, Yitan; Brettin, Thomas; Evrard, Yvonne A; Partin, Alexander; Shukla, Maulik; Xia, Fangfang; Clyde, Austin; Vasanthakumari, Priyanka; Doroshow, James H; Stevens, Rick L

Engineering of increased L-Threonine production in bacteria by combinatorial cloning and machine learning

通过组合克隆和机器学习提高细菌中 L-苏氨酸的产量

Paul Hanke, Bruce Parrello, Olga Vasieva, Chase Akins, Philippe Chlenski, Gyorgy Babnigg, Chris Henry, Fatima Foflonker, Thomas Brettin, Dionysios Antonopoulos, Rick Stevens, Michael Fonstein

Data augmentation and multimodal learning for predicting drug response in patient-derived xenografts from gene expressions and histology images

利用数据增强和多模态学习,基于基因表达和组织学图像预测患者来源异种移植瘤的药物反应。

Partin, Alexander; Brettin, Thomas; Zhu, Yitan; Dolezal, James M; Kochanny, Sara; Pearson, Alexander T; Shukla, Maulik; Evrard, Yvonne A; Doroshow, James H; Stevens, Rick L

Deep learning methods for drug response prediction in cancer: Predominant and emerging trends

深度学习方法在癌症药物反应预测中的应用:主要趋势和新兴趋势

Partin, Alexander; Brettin, Thomas S; Zhu, Yitan; Narykov, Oleksandr; Clyde, Austin; Overbeek, Jamie; Stevens, Rick L