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

A spatial long-read approach at near-single-cell resolution reveals developmental regulation of splicing and polyadenylation sites in distinct cortical layers and cell types

接近单细胞分辨率的空间长读长测序方法揭示了不同皮层层级和细胞类型中剪接和多聚腺苷酸化位点的发育调控

Careen Foord # ,Andrey D Prjibelski # ,Wen Hu # ,Lieke Michielsen ,Andrea Vandelli ,Oleksandr Narykov ,Brian Evans ,Justine Hsu ,Natan Belchikov ,Julien Jarroux ,Yi He ,M Elizabeth Ross ,Iman Hajirasouliha ,Gian Gaetano Tartaglia ,Dmitry Korkin ,Alexandru I Tomescu ,Hagen U Tilgner

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 spatial long-read approach at near-single-cell resolution reveals developmental regulation of splicing and polyadenylation sites in distinct cortical layers and cell types.

接近单细胞分辨率的空间长读长方法揭示了不同皮层层和细胞类型中剪接和多聚腺苷酸化位点的发育调控

Foord Careen, Prjibelski Andrey D, Hu Wen, Michielsen Lieke, Vandelli Andrea, Narykov Oleksandr, Evans Brian, Hsu Justine, Belchikov Natan, Jarroux Julien, He Yi, Ross M Elizabeth, Hajirasouliha Iman, Tartaglia Gian Gaetano, Korkin Dmitry, Tomescu Alexandru I, Tilgner Hagen U

Single-cell long-read sequencing-based mapping reveals specialized splicing patterns in developing and adult mouse and human brain

基于单细胞长读长测序的图谱揭示了发育中和成年小鼠及人类大脑中特化的剪接模式

Anoushka Joglekar ,Wen Hu ,Bei Zhang ,Oleksandr Narykov ,Mark Diekhans ,Jordan Marrocco ,Jennifer Balacco ,Lishomwa C Ndhlovu ,Teresa A Milner ,Olivier Fedrigo ,Erich D Jarvis ,Gloria Sheynkman ,Dmitry Korkin ,M Elizabeth Ross ,Hagen U Tilgner

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

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

Single-cell long-read mRNA isoform regulation is pervasive across mammalian brain regions, cell types, and development

单细胞长读 mRNA 异构体调控广泛存在于哺乳动物大脑区域、细胞类型和发育中

Anoushka Joglekar, Wen Hu, Bei Zhang, Oleksandr Narykov, Mark Diekhans, Jennifer Balacco, Lishomwa C Ndhlovu, Teresa A Milner, Olivier Fedrigo, Erich D Jarvis, Gloria Sheynkman, Dmitry Korkin, M Elizabeth Ross, Hagen U Tilgner