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

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

The Hallmarks of Predictive Oncology

预测肿瘤学的标志

Singhal, Akshat; Zhao, Xiaoyu; Wall, Patrick; So, Emily; Calderini, Guido; Partin, Alexander; Koussa, Natasha; Vasanthakumari, Priyanka; Narykov, Oleksandr; Zhu, Yitan; Jones, Sara E; Abbas-Aghababazadeh, Farnoosh; Kadambat Nair, Sisira; Bélisle-Pipon, Jean-Christophe; Jayaram, Athmeya; Parker, Barbara A; Yeung, Kay T; Griffiths, Jason I; Weil, Ryan; Nath, Aritro; Haibe-Kains, Benjamin; Ideker, Trey

Onboard, tethered IL-12 boosts potency of the Tmod NOT gate and preserves selectivity.

机载连接的 IL-12 可增强 Tmod NOT 门的效力并保持选择性

Zhang Jingli A, Imboden Sara, Lee Dongwoo, Zampieri Alexandre, Shafaattalab Sanam, Liang Jushen, Bruno Richele, Torres Jon, Partin Alexander, Daris Mark E, Riley Timothy P, Kamb Alexander

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

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

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

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

Learning curves for drug response prediction in cancer cell lines

癌症细胞系药物反应预测的学习曲线

Partin, Alexander; Brettin, Thomas; Evrard, Yvonne A; Zhu, Yitan; Yoo, Hyunseung; Xia, Fangfang; Jiang, Songhao; Clyde, Austin; Shukla, Maulik; Fonstein, Michael; Doroshow, James H; Stevens, Rick L

Enhanced Co-Expression Extrapolation (COXEN) Gene Selection Method for Building Anti-Cancer Drug Response Prediction Models

用于构建抗癌药物反应预测模型的增强型共表达外推(COXEN)基因选择方法

Zhu, Yitan; Brettin, Thomas; Evrard, Yvonne A; Xia, Fangfang; Partin, Alexander; Shukla, Maulik; Yoo, Hyunseung; Doroshow, James H; Stevens, Rick L