BME103 s2013:TEMPwu3: Difference between revisions
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'''Bayesian Statistics'''<br> | |||
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, or P(A|B).<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]''' | |||
==New System: Design Strategy== | ==New System: Design Strategy== |
Revision as of 14:57, 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
Calculation 1: The probability that the sample actually has the cancer DNA sequence, given a positive diagnostic signal, or P(A|B).
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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