Imperial/Dry Lab/Data Analysis

From 2007.igem.org

(Difference between revisions)
m (Introduction)
(Data Analysis)
Line 5: Line 5:
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).
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.
+
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==

Revision as of 14:34, 22 October 2007

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