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

Single-cell spatial proteomics maps human liver zonation patterns and their vulnerability to disruption in tissue architecture.

单细胞空间蛋白质组学绘制人类肝脏分区模式及其对组织结构破坏的脆弱性。

Weiss Caroline A M, Brown Lauryn A, Miranda Lucas, Pellizzoni Paolo, Steigerwald Sophia, Remmert Kirsten, Hernandez Jonathan M, Borgwardt Karsten, Kleiner David E, Ben-Moshe Shani, Rosenberger Florian A, Porat-Shliom Natalie, Mann Matthias

Automated Discovery of Reactive Events via Hypergraph Mining of Ab Initio Atomistic Simulations

通过从头算原子模拟的超图挖掘实现反应事件的自动发现

Stan-Bernhardt, Alexandra; Pellizzoni, Paolo; Borgwardt, Karsten; Ochsenfeld, Christian

Predicting sequence-specific amplification efficiency in multi-template PCR with deep learning

利用深度学习预测多模板PCR中序列特异性扩增效率

Gimpel, Andreas L; Fan, Bowen; Chen, Dexiong; Wölfle, Laetitia O D; Horn, Max; Meng-Papaxanthos, Laetitia; Antkowiak, Philipp L; Stark, Wendelin J; Christen, Beat; Borgwardt, Karsten; Grass, Robert N

Data-driven protease engineering by DNA-recording and epistasis-aware machine learning.

基于DNA记录和上位性感知机器学习的数据驱动型蛋白酶工程

Huber Lukas, Kucera Tim, Höllerer Simon, Borgwardt Karsten, Panke Sven, Jeschek Markus

Circulation of polyclonal OXA-244-producing Escherichia coli lineages in Jerusalem, Israel

以色列耶路撒冷多克隆OXA-244产生型大肠杆菌菌株的传播

Sattler, Janko; Oster, Yonatan; Seth Smith, Helena M B; Gütlin, Yukino; Michael-Gayego, Ayelet; Reshef, Dan; Temper, Violeta; Borgwardt, Karsten; Egli, Adrian; Strahilevitz, Jacob; Moran-Gilad, Jacob

Endowing protein language models with structural knowledge

赋予蛋白质语言模型结构知识

Hartout, Philip; Chen, Dexiong; Pellizzoni, Paolo; Oliver, Carlos; Borgwardt, Karsten

Single cell spatial proteomics maps human liver zonation patterns and their vulnerability to fibrosis

单细胞空间蛋白质组学绘制人类肝脏分区模式及其对纤维化的易感性

Weiss, Caroline A M; Brown, Lauryn A; Miranda, Lucas; Pellizzoni, Paolo; Ben-Moshe, Shani; Steigerwald, Sophia; Remmert, Kirsten; Hernandez, Jonathan; Borgwardt, Karsten; Rosenberger, Florian A; Porat-Shliom, Natalie; Mann, Matthias

Enhancing the diagnosis of functionally relevant coronary artery disease with machine learning

利用机器学习增强对功能性冠状动脉疾病的诊断

Bock, Christian; Walter, Joan Elias; Rieck, Bastian; Strebel, Ivo; Rumora, Klara; Schaefer, Ibrahim; Zellweger, Michael J; Borgwardt, Karsten; Müller, Christian

DeePhys: A machine learning-assisted platform for electrophysiological phenotyping of human neuronal networks

DeePhys:一个利用机器学习辅助的人类神经元网络电生理表型分析平台

Hornauer, Philipp; Prack, Gustavo; Anastasi, Nadia; Ronchi, Silvia; Kim, Taehoon; Donner, Christian; Fiscella, Michele; Borgwardt, Karsten; Taylor, Verdon; Jagasia, Ravi; Roqueiro, Damian; Hierlemann, Andreas; Schröter, Manuel

An empirical study on KDIGO-defined acute kidney injury prediction in the intensive care unit

一项关于重症监护病房中KDIGO定义的急性肾损伤预测的实证研究

Lyu, Xinrui; Fan, Bowen; Hüser, Matthias; Hartout, Philip; Gumbsch, Thomas; Faltys, Martin; Merz, Tobias M; Rätsch, Gunnar; Borgwardt, Karsten