"

From 2011.igem.org

Revision as of 09:00, 27 June 2011 (view source) Tormunds (Talk | contribs) ← Older edit		Revision as of 09:00, 27 June 2011 (view source) Tormunds (Talk | contribs) (→Systems of ODE) Newer edit →
Line 20:		Line 20:
	=== Systems of ODE ===		=== Systems of ODE ===
-
-	<math>Insert formula here</math>
Line 34:		Line 32:
	were x_i is under condition C = 1 (stress) , and y_j is under condition C = 0 (no stress).		were x_i is under condition C = 1 (stress) , and y_j is under condition C = 0 (no stress).
	</html>		</html>
		+
	=== Linear Classification ===		=== Linear Classification ===

---

Revision as of 09:00, 27 June 2011

---

Models are under construction -------Page

3 types of models: Systems of ODE, Bayesian hierarchy and linear classification problems (LDA or similar). To be continued....

Contents 1 Model Introduction 2 The Models 2.1 Systems of ODE 2.2 Linear Classification 2.2.1 Non-linear Classification 3 Model Validation 4 References

Model Introduction

-What to model

-How to model

The Models

Systems of ODE

=== Bayesian Hierarchy === We den wish to model the reliability for the observations... That is the probability of false positive/negative results $P(RTF\; =\; 1|stress)$ and opposite. Having the observations x_i, i = 0,1,...,n, and y_j , j = 0,1,...,m, were x_i is under condition C = 1 (stress) , and y_j is under condition C = 0 (no stress).

Linear Classification

Non-linear Classification

Model Validation

References

Home