The Union between Structural and Practical Identifiability Makes Strength in Reducing Oncological Model Complexity: A Case Study
المؤلفون المشاركون
Saccomani, Maria Pia
Thomaseth, Karl
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-02-11
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Mathematical models are increasingly proposed to describe tumor’s dynamic response to treatments with the aims of improving their efficacy.
The most widely used are nonlinear ODE models, whose identification is often difficult due to experimental limitations.
We focus on the issue of parameter estimation in model-based oncological studies.
Given their complexity, many of these models are unidentifiable having an infinite number of parameter solutions.
These equivalently describe experimental data but are associated with different dynamic evolution of unmeasurable variables.
We propose a joint use of two different identifiability methodologies, structural identifiability and practical identifiability, which are traditionally regarded as disjoint.
This new methodology provides the number of parameter solutions, the analytic relations between the unidentifiable parameters useful to reduce model complexity, a ranking between parameters revealing the most reliable estimates, and a way to disentangle the various causes of nonidentifiability.
It is implementable by using available differential algebra software and statistical packages.
This methodology can constitute a powerful tool for the oncologist to discover the behavior of inaccessible variables of clinical interest and to correctly address the experimental design.
A complex model to study “in vivo” antitumor activity of interleukin-21 on tumor eradication in different cancers in mice is illustrated.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Saccomani, Maria Pia& Thomaseth, Karl. 2018. The Union between Structural and Practical Identifiability Makes Strength in Reducing Oncological Model Complexity: A Case Study. Complexity،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1133233
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Saccomani, Maria Pia& Thomaseth, Karl. The Union between Structural and Practical Identifiability Makes Strength in Reducing Oncological Model Complexity: A Case Study. Complexity No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1133233
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Saccomani, Maria Pia& Thomaseth, Karl. The Union between Structural and Practical Identifiability Makes Strength in Reducing Oncological Model Complexity: A Case Study. Complexity. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1133233
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1133233
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر