From 2007.igem.org

Contents 1 Data Analysis 1.1 Introduction 1.2 Principle of non-linear regression/curve fitting by least-squares 1.2.1 Representative example

Data Analysis

Introduction

Data analysis involves manipulating experimental data with the objective of extracting useful information. This then allows us to test our original hypotheses surrounding the problem, and in doing so, test the stringency/validity of our representative model. If the model proves to be valid, data analysis likewise provides a means of parameter extraction essential in rendering our theoretical model more realistic (as it gleans parameters from actual expimental data).

Our approach to data analysis utilizes curve/shape-fitting by non-linear regression (employing the least-squares method).

Principle of non-linear regression/curve fitting by least-squares

Theory
Theory
Theory
Theory

Representative example