6 citations · 6 across the 6 of their papers we have counts for
4 papers · 1 filter
Making Models That Matter: How to Build Trustworthy and Useful Systems Biology Models
John M. Hancock, Mihail Anton, Frank T. Bergmann +23
Computational models supporting mechanistic understanding of (complex) biological systems, systems behaviour prediction, and experimental design are becoming more and more embedded…
APICURON: a reactive infrastructure for credit attribution across distributed research data ecosystems
Adel Bouhraoua, Mehdi Zoubiri, Gavin Farrell +11
Data-driven biology relies on structured knowledge generated by expert biocurators, yet this work remains largely unrecognized in traditional academic assessments. To bridge this g…
Traceable Trust for action-ready artificial intelligence in bioscience
Huayu Xin, Yizhi Cai, Mukilan Deivarajan Suresh +9
Artificial intelligence (AI) is becoming part of the working infrastructure of the biosciences. AI models can predict biomolecular structures, design proteins, rank variants, annot…
Hybrid Cloud Architectures for Research Computing: Applications and Use Cases
Xaver Stiensmeier, Alexander Kanitz, Jan Krüger +12
Scientific research increasingly depends on robust and scalable IT infrastructures to support complex computational workflows. With the proliferation of services provided by resear…