DISTING: A Web Application for Fast Algorithmic Computation of Alternative Indistinguishable Linear Compartmental Models

A structured mathematical model based on limited experimental data is often used to predict model or system attributes that cannot be measured directly. This often engenders two fundamental analysis problems: model structural identifiability (SI) and model structural indistinguishability. The word ‘structural’ in both of these indicates that perfect input-output data are assumed; neither problem is concerned with parameter estimation accuracy using real data. SI analysis addresses whether particular model parameters or combination of them are quantifiable in principle from the input-outpu t I-O data.

Source: Computer Methods and Programs in Biomedicine - February 27, 2017 Category: Bioinformatics Authors: Natalie R. Davidson, Keith R. Godfrey, Faisal Alquaddoomi, David Nola, Joseph J. DiStefano Source Type: research