BME103 s2013:TEMPwu3
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(→LAB 2 WRITEUP) 
(→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>  +  These statistics are based upon all of the DNA detection system results that were obtained in the PCR lab 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)  
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<br>  <br>  
  <! Bonus points for Calculation 2!  +  <! Bonus points for Calculation 2! 
Calculation 2: The probability that the sample actually has a noncancer DNA sequence, given a negative diagnostic signal.<br>  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]  * 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]  
* P (BA) = [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]'''  +  * '''P(AB) = [answer]''' > 
<br>  <br>  
  Calculation 3: The probability that the  +  Calculation 3: The probability that the patient will develop cancer, given a cancer DNA sequence.<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]  
* P (BA) = [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]'''  * '''P(AB) = [answer]'''  
+  <br>  
+  
+  <! Bonus points for Calculation 4!  
+  Calculation 4: The probability that the patient will not develop cancer, given a noncancer DNA sequence.<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>  
==New System: Design Strategy==  ==New System: Design Strategy== 
Revision as of 19:43, 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 3 WRITEUPOriginal System: PCR ResultsPCR Test Results
Bayes Theorem equation: P(AB) = P(BA) * P(A) / P(B)
Calculation 3: The probability that the patient will develop cancer, given a cancer DNA sequence.
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
