Marcus Rosenblatt
Molecular Biology · 2021
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 5 citations into it
Whom Marcus Rosenblatt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Marcus Rosenblatt's perspective
Ordered by how strongly the researchers Marcus Rosenblatt trusts endorse each paper. Same corpus, a different order for every researcher.
- An Efficient Method for Structural Identifiability Analysis of Large Dynamic Systems
- Global Identifiability of Differential Models (Communications on Pure and Applied Mathematics)
- Sensitivity analysis approaches applied to systems biology models. (IET Systems Biology)
- Fundamental properties of unperturbed haematopoiesis from stem cells in vivo (Nature)
- Global identifiability of nonlinear models of biological systems (IEEE Transactions on Biomedical Engineering)
- DAISY: A new software tool to test global identifiability of biological and physiological systems (Comput. Methods Programs Biomed.)
- Universally Sloppy Parameter Sensitivities in Systems Biology Models (PLoS Comput. Biol.)
- SUNDIALS: Suite of nonlinear and differential/algebraic equation solvers
- Mathematical model of NF- κB regulatory module
- Numerically Solving Polynomial Systems with Bertini (Software, environments, tools)
Their papers
- On structural and practical identifiability (2021) — 312 citations