BME100 f2014:Group20 L6: Difference between revisions
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<!-- Instructions: Write a medium-length summary (~10 - 20 sentences) of how BME100 tested patients for the disease-associated SNP. Describe (A) the division of labor (e.g., 34 teams of 6 students each diagnosed 68 patients total...), (B) things that were done to prevent error, such as the number of replicates per patient, PCR controls, ImageJ calibration controls, and the number of drop images that were used for the ImageJ calculations (per unique PCR sample), and (C) the class's final data from the BME100_fa2014_PCRResults spreadsheet (successful conclusions, inconclusive results, blank data). --> | <!-- Instructions: Write a medium-length summary (~10 - 20 sentences) of how BME100 tested patients for the disease-associated SNP. Describe (A) the division of labor (e.g., 34 teams of 6 students each diagnosed 68 patients total...), (B) things that were done to prevent error, such as the number of replicates per patient, PCR controls, ImageJ calibration controls, and the number of drop images that were used for the ImageJ calculations (per unique PCR sample), and (C) the class's final data from the BME100_fa2014_PCRResults spreadsheet (successful conclusions, inconclusive results, blank data). --> | ||
When testing patients for the disease-associated SNP, BME 100 split the labor up throughout the groups. With 34 teams of 6 students, 68 patients were able to be tested. This is a good division of labor in that while each group only needed to test two patients, the entire group was able to test 68. This helps on the larger scale. Many things were done to help prevent error. By receiving three replicate DNA samples from the two patients, it ensured multiple trials and a higher chance of success. After all the tests were conducted, the results yielded a total positive result of 30, and a total negative result of 24. Of these, eight were inconclusive, and for six of them there was no test. | When testing patients for the disease-associated SNP, BME 100 split the labor up throughout the groups. With 34 teams of 6 students, 68 patients were able to be tested. This is a good division of labor in that while each group only needed to test two patients, the entire group was able to test 68. This helps on the larger scale. Many things were done to help prevent error. Systematic steps were followed by each group to ensure that no error would arise from variation in procedure. By receiving three replicate DNA samples from the two patients, it ensured multiple trials and a higher chance of success. Within ImageJ, error was minimalized by the different teams by creating images with as little variation as possible to ensure precise results. After all the tests were conducted, the results yielded a total positive result of 30, and a total negative result of 24. Of these, eight were inconclusive, and for six of them there was no test. | ||
[[Image:bayesstatistic.JPEG]] | [[Image:bayesstatistic.JPEG]] | ||
Revision as of 19:04, 25 November 2014
 BME 100 Fall 2014
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Home People Lab Write-Up 1 | Lab Write-Up 2 | Lab Write-Up 3 Lab Write-Up 4 | Lab Write-Up 5 | Lab Write-Up 6 Course Logistics For Instructors Photos Wiki Editing Help | ||||||
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OUR COMPANY
LAB 6 WRITE-UPBayesian StatisticsOverview of the Original Diagnosis System When testing patients for the disease-associated SNP, BME 100 split the labor up throughout the groups. With 34 teams of 6 students, 68 patients were able to be tested. This is a good division of labor in that while each group only needed to test two patients, the entire group was able to test 68. This helps on the larger scale. Many things were done to help prevent error. Systematic steps were followed by each group to ensure that no error would arise from variation in procedure. By receiving three replicate DNA samples from the two patients, it ensured multiple trials and a higher chance of success. Within ImageJ, error was minimalized by the different teams by creating images with as little variation as possible to ensure precise results. After all the tests were conducted, the results yielded a total positive result of 30, and a total negative result of 24. Of these, eight were inconclusive, and for six of them there was no test.
What Bayes Statistics Imply about This Diagnostic Approach
The Bayes value for both one and two seem to be reliable in concluding that there is a good chance it is accurate in determining that a person has the disease SNP, because of the values being closer to 1.00.
Based on the Bayes value for calculations 3 and 4, it would seem that these values are not as accurate in determining if the person has the disease SNP, because of the values being further from 1.00. Sources of Error Possible sources of error could be contamination from the person conducting the PCR tests, malfunctioning PCR machine, and issues with proper temperatures in thermocycler when multiplying the DNA. Computer-Aided DesignTinkerCAD
Feature 2: Consumables KitFeature 3: Hardware - PCR Machine & Fluorimeter | |||||||
