BME103 s2013:TEMPwu3
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(→Original System: PCR Results) 
(→Original System: PCR Results) 

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'''Bayesian Statistics'''<br>  '''Bayesian Statistics'''<br>  
+  These statistics are based upon all of the DNA detection system results for 34 hypothetical patients who were diagnosed as either having cancer or not having cancer.<br>  
+  
Bayes Theorem equation: P(AB) = P(BA) * P(A) / P(B)  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,  +  
+  Calculation 1: The probability that the sample actually has the cancer DNA sequence, given a positive diagnostic signal.<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]'''  
+  <br>  
+  
+  <! Bonus points for Calculation 2! >  
+  Calculation 2: The probability that the sample actually has a noncancer DNA sequence, given a negative diagnostic signal.<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]'''  
+  <br>  
+  
+  Calculation 3: The probability that the sample actually has a noncancer DNA sequence, given a negative diagnostic signal.<br>  
* A = [text description] = [frequency shown as a fraction] = [final numerical value]  * A = [text description] = [frequency shown as a fraction] = [final numerical value]  
* B = [text description] = [frequency shown as a fraction] = [final numerical value]  * B = [text description] = [frequency shown as a fraction] = [final numerical value] 
Revision as of 18:07, 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
Bayes Theorem equation: P(AB) = P(BA) * P(A) / P(B)
Calculation 2: The probability that the sample actually has a noncancer DNA sequence, given a negative diagnostic signal.
Calculation 3: The probability that the sample actually has a noncancer DNA sequence, given a negative diagnostic signal.
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
