受强制性开放获取政策约束的文章 - Gabriel Dernbach了解详情
可在其他位置公开访问的文章：5 篇
Single-cell gene regulatory network prediction by explainable AI
P Keyl, P Bischoff, G Dernbach, M Bockmayr, R Fritz, D Horst, N Blüthgen, ...
Nucleic Acids Research 51 (4), e20-e20, 2023
强制性开放获取政策： Federal Ministry of Education and Research, Germany
Patient-level proteomic network prediction by explainable artificial intelligence
P Keyl, M Bockmayr, D Heim, G Dernbach, G Montavon, KR Müller, ...
NPJ Precision Oncology 6 (1), 35, 2022
强制性开放获取政策： German Research Foundation, Federal Ministry of Education and Research, Germany
High-resolution molecular atlas of a lung tumor in 3D
TM Pentimalli, S Schallenberg, D León-Periñán, I Legnini, I Theurillat, ...
BioRxiv, 2023.05. 10.539644, 2023
强制性开放获取政策： German Research Foundation, Federal Ministry of Education and Research …
TTF-1 status in early-stage lung adenocarcinoma is an independent predictor of relapse and survival superior to tumor grading
S Schallenberg, G Dernbach, MP Dragomir, G Schlachtenberger, ...
European Journal of Cancer 197, 113474, 2024
强制性开放获取政策： Federal Ministry of Education and Research, Germany
Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence
J Keyl, P Keyl, G Montavon, R Hosch, A Brehmer, L Mochmann, ...
medRxiv, 2023.10. 12.23296873, 2023
强制性开放获取政策： German Research Foundation, Federal Ministry of Education and Research, Germany
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