BME100 f2014:Group34 L6

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BME 100 Fall 2014 Home
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Lab Write-Up 1 | Lab Write-Up 2 | Lab Write-Up 3
Lab Write-Up 4 | Lab Write-Up 5 | Lab Write-Up 6
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OUR COMPANY

Victor Huerta
Xavier Richmond
Ferrin Thomas
Morgan Seburn
Teja Vemulapalli


LAB 6 WRITE-UP

Bayesian Statistics

Overview of the Original Diagnosis System


What Bayes Statistics Imply about This Diagnostic Approach


The reliability of indidivual PCR replicates for concluding that a person has the disease SNP are actually fairly reliable. The values for the probability a patient will get either a positive or a negative final test conclusion are much closer to 100% than 0% indicating that the chances someone may or may not get the disease given a positive or negative diagnostic signal, respectively, are high. Possible sources of error that could have had a negative impact on the Bayes values include: (1) Improper/Incorrect micropipette technique. Failing to transfer the exact amount of solution from tube to tube could significantly alter the concentration of DNA after the polymerase chain reaction. (2) Human error in imageJ software. Failing to select the entire drop in the image or selecting an area greater than that of the drop would lead to incorrect INTDEN values, the values that we then converted into concentrations. If the INTDEN values are wrong our concentrations will also be wrong. (3)


Computer-Aided Design

TinkerCAD


Our Design





Feature 1: Consumables Kit

Feature 2: Hardware - PCR Machine & Fluorimeter