BME103 s2013:TEMPwu3
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(→LAB 2 WRITEUP) 
(→Original System: PCR Results) 

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+  '''Bayesian Statistics'''<br>  
+  Bayes Theorem equation: P(AB) = P(BA) * P(A) / P(B)  
+  Calculation 1: The probability that the sample actually has the cancer DNA sequence, given a positive diagnostic signal, or P(AB).<br>  
+  * A = [text description] = [frequency shown as a fraction] = [final numerical value]  
+  * B = [text description] = [frequency shown as a fraction] = [final numerical value]  
+  * P (BA) = [text description] = [frequency shown as a fraction] = [final numerical value]  
+  * '''P(AB) = [answer]'''  
==New System: Design Strategy==  ==New System: Design Strategy== 
Revision as of 16:57, 9 April 2013
BME 103 Spring 2013  Home People Lab WriteUp 1 Lab WriteUp 2 Lab WriteUp 3 Course Logistics For Instructors Photos Wiki Editing Help  
OUR TEAMLAB 2 WRITEUPOriginal System: PCR ResultsPCR Test Results
Calculation 1: The probability that the sample actually has the cancer DNA sequence, given a positive diagnostic signal, or P(AB).
New System: Design StrategyWe concluded that a good system Must Have:
New System: Machine/ Device EngineeringDESIGN STRATEGY
DESIGN APPROACH
ProtocolsMaterials
PCR Protocol
Research and DevelopmentBackground on Disease Markers
Primer Design
Illustration
