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

Predicting the Stability of Base-mediated C─H Carboxylation Adducts Using Data Science Tools

利用数据科学工具预测碱介导的C─H羧化加合物的稳定性

Eckhoff, Maike; Deolka, Shubham; Garcia-Roca, Aleria; Meynberg, Lilly; Seidel, Liudmila; Sigman, Matthew S; Proppe, Jonny

Predicting enviromically adapted varieties with big data

利用大数据预测环境适应性品种

Gogna, Abhishek; Kamali, Bahareh; Wimmer, Valentin; Schmidt, Renate H; Rezaei, Ehsan Eyshi; Eckhoff, Wera Maria; Reif, Jochen C; Zhao, Yusheng

Finding the most promising indications for novel treatments in oncology

寻找肿瘤学新疗法最有希望的适应症

Eckhoff, Maren; Klingelschmitt, Stefan; Van Ruijssevelt, Lisbeth; Grossmann, Sebastian; Zichner, Thomas; Stümpges, Paul; Roschewitz, David; Mlecnik, Bernhard; Merger, Michael; Graen, Patrick; Kumar, Jeevan; Devereson, Alex; Wurzer, Stephan; Bleys, Joachim; Albrecht, Björn; Hach, Daniel; Haslinger, Christian

Development of a Thioetherification of Heteroarene Electrophiles with Broad Scope via a Proton Transfer Dual Ionization Mechanism

通过质子转移双电离机制开发出适用于多种底物的杂芳烃亲电试剂硫醚化反应

Zwick, Christian R 3rd; Eckhoff, Maike; Henle, Jeremy J; Bay, Anna V; Swiatowiec, Rafal; Shekhar, Shashank; Yang, Cassie; Zhou, Yong; Wall, Amanda L; Henry, Rodger F; Hoskins, Jessica N; Sigman, Matthew S

Breaking down data silos across companies to train genome-wide predictions: A feasibility study in wheat

打破公司间数据孤岛以训练全基因组预测模型:小麦可行性研究

Lell, Moritz; Gogna, Abhishek; Kloesgen, Vincent; Avenhaus, Ulrike; Dörnte, Jost; Eckhoff, Wera Maria; Eschholz, Tobias; Gils, Mario; Kirchhoff, Martin; Koch, Michael; Kollers, Sonja; Pfeiffer, Nina; Rapp, Matthias; Wimmer, Valentin; Wolf, Markus; Reif, Jochen; Zhao, Yusheng

Spatial Transcriptomics of Intraductal Papillary Mucinous Neoplasms Reveals Divergent Indolent and Malignant States.

导管内乳头状黏液性肿瘤的空间转录组学揭示了惰性与恶性状态的差异

Iyer Matthew K, Fletcher Ashley A, Okoye Jude Ogechukwu, Shi Chanjuan, Chen Fengming, Kanu Elishama N, Eckhoff Austin M, Bao Matthew, Pasca di Magliano Marina, Frankel Timothy L, Chinnaiyan Arul M, Nussbaum Daniel P, Allen Peter J

A platform for multisite immune profiling of premetastatic pancreatic cancer at single-cell resolution

一个用于单细胞分辨率下胰腺癌转移前多位点免疫分析的平台

Elishama N Kanu ,Ashley A Fletcher ,Jiayin Bao ,Ethan S Agritelley ,Julia Button ,Austin M Eckhoff ,Karrie Comatas ,Tao Wang ,Bin-Jin Hwang ,Michael E Lidsky ,Sabino Zani ,Dan G Blazer ,Peter J Allen ,Zhicheng Ji ,Frank J Lowery ,Sri Krishna ,Nicholas D Klemen ,Daniel P Nussbaum ,Erika J Crosby

Comprehensive Assessment of the Intrinsic Pancreatic Microbiome

对胰腺固有微生物组的全面评估

Eckhoff, Austin M; Fletcher, Ashley A; Kelly, Matthew S; Dohlman, Anders B; McIntyre, Caitlin A; Shen, Xiling; Iyer, Matthew K; Nussbaum, Daniel P; Allen, Peter J

Hierarchical Quantum Embedding by Machine Learning for Large Molecular Assemblies

基于机器学习的分层量子嵌入方法在大型分子组装中的应用

Bensberg, Moritz; Eckhoff, Marco; Husistein, Raphael T; Teynor, Matthew S; Sora, Valentina; Bro-Jørgensen, William; Thomasen, F Emil; Krogh, Anders; Lindorff-Larsen, Kresten; Solomon, Gemma C; Weymuth, Thomas; Reiher, Markus

Lifelong Machine Learning Potentials for Chemical Reaction Network Explorations

机器学习在化学反应网络探索中的终身潜力

Eckhoff, Marco; Reiher, Markus