What Bayes Statistics Imply about This Diagnostic Approach
The Bayesian statistic calculations 1 and 2 conclude that the individual PCR replicates are reliable in detecting whether or not patients have a disease SNP. For both calculation 1 and calculation 2, the Bayes values were close to 1.00 (100%). The high Bayes values indicate that the tests were reliable. Error could have been from the SYBR Green being exposed to light before being used in the fluorimeter, the method of adding primers or transferring liquids, mistakes in the use of the ImageJ software, or a flaw of the Open PCR machine. If the SYBR Green was exposed to light before use in the fluorimeter, the fluorescence of the drop could change. False positives or negatives could occur because of the exposure to the light. Error could occur from the process of transferring primers and enzymes, as the liquids could not be mixed properly and the target gene may not have been copied enough. Human error in calculations using the ImageJ software could lead to either wrong calibration results or wrong values for the patients. A wrong calibration line would skew the results of the two patients even if the patients' drops are analyzed correctly. The Open PCR machine could have had errors, but groups were allowed to leave before the process was complete. There could have been temperature control problems, but the group was not present to identify the issues.
Computer-Aided Design
TinkerCAD
Using the TinkerCAD ruler tool helped us see how precise designing in a virtual setting can be done efficiently and quickly. The shape tools made it easier to combine small details into one overall product. The shapes also made it easier to put on the computer what you were originally visioning in your mind. The boat that was made was a simple design, but it incorporated many of the features of TinkerCAD. Making the boat in TinkerCAD helped us better design a better version of the PCR machine.
BME 100 Fall 2014
