InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, releases a new version of LikelihoodProfiler.jl. LikelihoodProfiler represents a unified Julia package that can be used for practical identifiability analysis for complex computationally demanding QSP models.
Initially, LikelihoodProfiler.jl included a method (CICO) for estimating confidence intervals (CI) and assessing the practical identifiability of model parameters using the profile likelihood approach. Now LikelihoodProfiler package provides various state-of-the-art methods for profile likelihood analysis, including optimization-based and integration-based profiles, CI endpoints search, and more. These methods are now unified under a new interface, making it easier for users to switch between them. The results of LikelihoodProfiler.jl analysis can be used to further reduce the complexity and eliminate model’s uncertainty by implementing identifiable parametrizations and model reduction techniques.
Ivan Borisov, Senior Software Developer, comments on the new version of LikelihoodProfiler.jl, “This release marks the first version of the revamped package. We plan to introduce additional methods, improve interfaces, enhance documentation, and more to make the package more valuable to the community.”
LikelihoodProfiler package is open-source and freely available on GitHub: https://github.com/insysbio/LikelihoodProfiler.jl
About InSysBio
InSysBio is a group of Quantitative Systems Pharmacology (QSP) companies located in Limassol, Cyprus (INSYSBIO CY Ltd) and Edinburgh, UK (INSYSBIO UK LIMITED). InSysBio was founded in 2004 and has an extensive track record of helping pharmaceutical companies to make right decisions on the critical stages of drug research and development by application of QSP modeling. InSysBio’s cutting-edge QSP approach has already become a part of the drug development process implemented by our strategic partners: there are more than 100 completed projects in collaboration with leaders of pharmaceutical industry and innovative biotech companies. For more information about InSysBio, its solutions and services, visit www.insysbio.com
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06 Jul 2020 17:37
InSysBio to announce the launch of its new tool Heta compiler
Heta compiler has been published on GitHub as an OpenSource
(Moscow-06.07.2020) InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, presents Heta compiler which is a tool for the development of Quantitative Systems Pharmacology and Systems Biology platforms. Particularly, it allows combining modules written in different formats like: Heta language code, Excel sheets, JSON, YAML formatted structures, SBML and transforming them into the dynamic models of different formats.
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27 Jul 2020 11:45
InSysBio to evolve its Open Source QSP model of COVID-19
InSysBio has presented a new portion of results in the framework of development of COVID-19 QSP model.
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27 Jul 2020 16:42
InSysBio to present its posters at AAIC 2020 Virtual Event
InSysBio announces its participation in AAIC 2020 Virtual Event. Alzheimer's Association International Conference is held virtually on July 27-31. InSysBio team presents two posters within its frames
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