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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09 Nov 2023 16:15
IRT webinars. InSysBio ecosystem to speed up and facilitate QSP model development
InSysBio announces the upcoming webinar on Immune Response Template (IRT) on November 21 & 28, 2023 at 8am PST / 11am EST. This webinar aims to demonstrate how to use InSysBio ecosystem and IRT in particular to speed up and facilitate QSP model development.
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27 Nov 2023 17:45
InSysBio to announce a webinar on CYTOCON organized by ASCPT
InSysBio announces its participation in the upcoming webinar on CYTOCON organized by ASCPT entitled "CYTOCON: The Manually Curated Database of Human In Vivo Cell and Molecule Concentrations" on November 28, 2023, 9AM PT, 12PM ET. This webinar aims to demonstrate key features and application of CYTOCON DB.
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