BME100 s2018:Group9 W0800 L6

BME 100 Spring 2018	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
OUR COMPANY Name: Anna Avila Name: Zoey Wirtes Name: Tatlor Dinublio Name: student Name: student Our Brand Name LAB 6 WRITE-UP Bayesian Statistics Overview of the Original Diagnosis System BME students tested each patient for the disease associated SNP by splitting up the work efficiently to ensure each patient was carefully tested. We were given two patients to test for the SNP related disease. Our group received three replicate DNA samples from two patients.The group was then able to conduct the real time PCR tests. The groups in this lab may have split up the work by having one person pipet while the other took pictures of the drops, while another person recorded the data and uploaded the pictures to imageJ.During the lab, there were measurements taken to ensure that the calculations were accurate.One example is making sure each test tube was labeled correctly to avoid misdiagnosing a patient or possibly cross contaminating the tube. There were control groups for each test, that way we could make sure there were no mistakes when pipetting. During the experiment we conducted multiple trials of the three replicate DNA samples of the two patients to make sure the data would be as accurate as possible. The image J calibrations were replicated three times for each picture to ensure that the results were accurate and, we were able to filter out unwanted blue lights. Replicating this process also made it easier for our group members to use imageJ and become more familiar with the software. What Bayes Statistics Imply about This Diagnostic Approach Calculation and two were almost 100% accurate. The PCR test is reliable for testing whether or not a patient has the disease related SNP or not. These results showed that the test was reliable. Since the calculations were close to 1.00 then then results were close to 100% accuracy. These calculations showed that when a patient tests positive for the disease, they have it and if they test negative they do not carry the disease.Test 1 and 2 showed that was almost 100% correct. The calculations of three and four were not as reliable as test 1 & 2 for testing whether a patient has a disease associated SNP because the test showed that a low percentage of people with a positive test result would not have the disease marker. The results were very small, so further away from 1; the results were not accurate. The negative test was not as accurate as positive test results. There is a number of human errors that could have occured while testing for the disease. For example, when running fluorescent test, the drops on each slide could have been contaminated if not properly placed on the correct dot with the proper amount of