1 citations · 1 across the 4 of their papers we have counts for
4 papers
Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis
Alexander Partin, Priyanka Vasanthakumari, Oleksandr Narykov +17
Deep learning (DL) and machine learning (ML) models have shown promise in drug response prediction (DRP), yet their ability to generalize across datasets remains an open question,…
Exascale Workflow Applications and Middleware: An ExaWorks Retrospective
Aymen Alsaadi, Mihael Hategan-Marandiuc, Ketan Maheshwari +9
Exascale computers offer transformative capabilities to combine data-driven and learning-based approaches with traditional simulation applications to accelerate scientific discover…
Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data
Jamie C. Overbeek, Alexander Partin, Thomas S. Brettin +21
Cancer drug response prediction (DRP) models present a promising approach towards precision oncology, tailoring treatments to individual patient profiles. While deep learning (DL)…
ExaWorks Software Development Kit: A Robust and Scalable Collection of Interoperable Workflow Technologies
Matteo Turilli, Mihael Hategan-Marandiuc, Mikhail Titov +13
Scientific discovery increasingly requires executing heterogeneous scientific workflows on high-performance computing (HPC) platforms. Heterogeneous workflows contain different typ…