【#Parameter_Sensitivity and Qualitative Analysis of Dynamics of Ovarian Tumor Growth Model with Treatment Strategy】

Read full article: https://tinyurl.com/ybt957y2

Article by Md. Shah Alam, et al., from University of Louisiana at Lafayette (USA), etc.

Mathematical models of complex biological systems are central to systems biology. Model simulations can be used to predict the system-wide effects of molecular targets and can also serve as an important clinical tool, for example, classify benign and malignant tumors, predict disease prognosis for individual patients, and predict outcomes of treatments. In this paper, the researchers aim to find the most sensitive parameter, local and global stability of ovarian tumor growth model. They use Latin Hypercube Sampling (#LHS) method to generate sample points and Partial Rank Correlation Coefficient (#PRCC) method and then use those sample points to find out which parameters are important for the model.#Scatter_Plot #Monotonicity #Stability_Analysis