Results
From 2008.igem.org
Krmuscalino (Talk | contribs) (New page: *[https://2008.igem.org/Analysis_of_Our_Models Analysis of Our Models Page] *[https://2008.igem.org/Team:Davidson-Missouri_Western Home]) |
Krmuscalino (Talk | contribs) |
||
Line 1: | Line 1: | ||
+ | '''Ranking of Models (1 – best; 4 – worst)''' | ||
+ | |||
+ | ---- | ||
+ | |||
+ | a) All models were superior under Primary Property Test | ||
+ | |||
+ | b) Under Minimal Collision Test and Predictability Test when random generated messages based on all 128 ascii characters occurring at equal probabilities | ||
+ | 1)Split 2)Twist 3) Net 4) Spoke (Evaluation based on patterns and white space in scatter plots) | ||
+ | Note) Twist model’s graph results vary depending on constraints (all other models do not) – Depending on constraints Twist is better than Net and Spoke, but Split always equal or better in performance | ||
+ | |||
+ | c)Under Minimal Collision Test and Predictability Test when random generated messages based on unequal probabilities of 128 ascii characters occurring | ||
+ | 1) Twist 2)Split 3) Net 4) Spoke | ||
+ | Note) Twist model’s graph results vary depending on constraints (all other models do not) – Depending on constraints Twist is better than Split | ||
+ | |||
+ | |||
*[https://2008.igem.org/Analysis_of_Our_Models Analysis of Our Models Page] | *[https://2008.igem.org/Analysis_of_Our_Models Analysis of Our Models Page] | ||
*[https://2008.igem.org/Team:Davidson-Missouri_Western Home] | *[https://2008.igem.org/Team:Davidson-Missouri_Western Home] |
Revision as of 21:53, 27 October 2008
Ranking of Models (1 – best; 4 – worst)
a) All models were superior under Primary Property Test
b) Under Minimal Collision Test and Predictability Test when random generated messages based on all 128 ascii characters occurring at equal probabilities 1)Split 2)Twist 3) Net 4) Spoke (Evaluation based on patterns and white space in scatter plots) Note) Twist model’s graph results vary depending on constraints (all other models do not) – Depending on constraints Twist is better than Net and Spoke, but Split always equal or better in performance
c)Under Minimal Collision Test and Predictability Test when random generated messages based on unequal probabilities of 128 ascii characters occurring 1) Twist 2)Split 3) Net 4) Spoke Note) Twist model’s graph results vary depending on constraints (all other models do not) – Depending on constraints Twist is better than Split