BME103 s2013:TEMPwu3: Difference between revisions
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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(A|B) = P(B|A) * P(A) / P(B) | Bayes Theorem equation: P(A|B) = P(B|A) * 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 (B|A) = [text description] = [frequency shown as a fraction] = [final numerical value] | |||
* '''P(A|B) = [answer]''' | |||
<br> | |||
<!-- Bonus points for Calculation 2! --> | |||
Calculation 2: The probability that the sample actually has a non-cancer 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 (B|A) = [text description] = [frequency shown as a fraction] = [final numerical value] | |||
* '''P(A|B) = [answer]''' | |||
<br> | |||
Calculation 3: The probability that the sample actually has a non-cancer 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 15:07, 9 April 2013
BME 103 Spring 2013 | Home People Lab Write-Up 1 Lab Write-Up 2 Lab Write-Up 3 Course Logistics For Instructors Photos Wiki Editing Help | ||||||||||||||||||||||||||||||||
OUR TEAMLAB 2 WRITE-UPOriginal System: PCR ResultsPCR Test Results
Bayes Theorem equation: P(A|B) = P(B|A) * P(A) / P(B)
Calculation 2: The probability that the sample actually has a non-cancer DNA sequence, given a negative diagnostic signal.
Calculation 3: The probability that the sample actually has a non-cancer 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
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