# BME103 s2013:T900 Group5 L3

(Difference between revisions)
 Revision as of 20:57, 14 April 2013 (view source) (→Original System: PCR Results)← Previous diff Revision as of 21:02, 14 April 2013 (view source) (→Original System: PCR Results)Next diff → Line 52: Line 52: These following conditional statistics are based upon all of the DNA detection system results that were obtained in the PCR lab for 20 hypothetical patients who were diagnosed as either having cancer or not having cancer.
These following conditional statistics are based upon all of the DNA detection system results that were obtained in the PCR lab for 20 hypothetical patients who were diagnosed as either having cancer or not having cancer.
- Bayes Theorem equation: P(A|B) = P(B|A) * P(A) / P(B) + Bayes Theorem is an equation in probability theory and statistics that relates inverse representations of probabilities concerning two events or rather, it expresses a degree of change when accounting for evidence. Bayes Theorem is represented as follows: + + P(A|B) = P(B|A) * P(A) / P(B) + + This information will be utilized to determine various probabilities listed below when accounting for the positive/negative values determined by the entire class as well as an outside document listing the actual yes/no cancer diagnosis

## Revision as of 21:02, 14 April 2013

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# OUR TEAM

 Name: Cody Gates Camera Operator Name: StudentRole(s) Name: StudentRole(s) Name: StudentRole(s) Name: StudentRole(s)

# LAB 3 WRITE-UP

## Original System: PCR Results

PCR Test Results

 Sample Name Ave. INTDEN* Calculated μg/mL Conclusion (pos/neg) Positive Control --- --- N/A Negative Control --- --- N/A Tube Label:___ Patient ID: ____ rep 1 --- --- --- Tube Label:___ Patient ID: ____ rep 2 --- --- --- Tube Label:___ Patient ID: ____ rep 3 --- --- --- Tube Label:___ Patient ID: ____ rep 1 --- --- --- Tube Label:___ Patient ID: ____ rep 2 --- --- --- Tube Label:___ Patient ID: ____ rep 3 --- --- ---

* Ave. INTDEN = Average of ImageJ integrated density values from three Fluorimeter images

Bayesian Statistics
These following conditional statistics are based upon all of the DNA detection system results that were obtained in the PCR lab for 20 hypothetical patients who were diagnosed as either having cancer or not having cancer.

Bayes Theorem is an equation in probability theory and statistics that relates inverse representations of probabilities concerning two events or rather, it expresses a degree of change when accounting for evidence. Bayes Theorem is represented as follows:

P(A|B) = P(B|A) * P(A) / P(B)

This information will be utilized to determine various probabilities listed below when accounting for the positive/negative values determined by the entire class as well as an outside document listing the actual yes/no cancer diagnosis

Calculation 1: The probability that the sample actually has the cancer DNA sequence, given a positive diagnostic signal.

• A = Cancer-Positive Conclustion = 9/20 = .45
• B = Positive PCR Reactions = 26/60 = .433
• P (B|A) = Positive PCR given cancer Positive conclustion = 11/13 = .846
• P(A|B) = .879=88%

Calculation 2: The probability that the sample actually has a non-cancer DNA sequence, given a negative diagnostic signal.

• A = Cancer negative conclustion = 11/20 = .55
• B = Negative PCR reactions = 17/30 = .567
• P (B|A) = Negative PCR given cancer-negative conclustion = 16/17 = .94
• P(A|B) = .911 = 91%

Calculation 3: The probability that the patient will develop cancer, given a cancer DNA sequence.

• A = "yes" cancer diagnosis = 7/20 = .35
• B = "positive" test conclusion = 9/20 = .45
• P (B|A) = Positive given yes = 6/20 = .3
• P(A|B) = .233 = 23%

Calculation 4: The probability that the patient will not develop cancer, given a non-cancer DNA sequence.

• A = "no" cancer diagnosis = 13/20 = .65
• B = "negative" test conclusion = 11/20 = .55
• P (B|A) = Negative given no = 1/2 = .5
• P(A|B) = .591 = 59%

## New System: Design Strategy

We concluded that a good system Must Have:

• [Must have #1 - why? short, ~4 or 5 sentences]
• [Must have #2 - why? short, ~4 or 5 sentences]

We concluded that we would Want a good system to have:

• [Want #1 - why? short, ~4 or 5 sentences]
• [Want #2 - why? short, ~4 or 5 sentences]

We concluded that a good system Must Not Have:

• [Must Not Have #1 - why? short, ~4 or 5 sentences]
• [Must Not Have #2 - why? short, ~4 or 5 sentences]

We concluded that a good system Should Avoid:

• [Should Avoid #1 - why? short, ~4 or 5 sentences]
• [Should Avoid #2 - why? short, ~4 or 5 sentences]

## New System: Machine/ Device Engineering

SYSTEM DESIGN

KEY FEATURES

We chose to include these new features

• Feature 1 - explanation of how this addresses any of the specifications in the "New System: Design Strategy" section
• Feature 2 - explanation of how this addresses any of the specifications in the "New System: Design Strategy" section
• Etc.

[OR]

We chose keep the devices the same as the original system

• Feature 1 - explanation of how a pre-existing feature addresses any of the specifications in the "New System: Design Strategy" section
• Feature 2 - explanation of how a pre-existing feature addresses any of the specifications in the "New System: Design Strategy" section
• Etc.

INSTRUCTIONS

## New System: Protocols

DESIGN

We chose to include these new approaches/ features

• Feature 1 - explanation of how this addresses any of the specifications in the "New System: Design Strategy" section
• Feature 2 - explanation of how this addresses any of the specifications in the "New System: Design Strategy" section
• Etc.

[OR]

We chose keep the protocols the same as the original system

• Feature 1 - explanation of how a pre-existing feature addresses any of the specifications in the "New System: Design Strategy" section
• Feature 2 - explanation of how a pre-existing feature addresses any of the specifications in the "New System: Design Strategy" section
• Etc.

MATERIALS

PROTOCOLS

• PCR Protocol
1. Step 1
2. Step 2
3. Etc.

• DNA Measurement and Analysis Protocol
1. Step 1
2. Step 2
3. Etc.

## New System: Research and Development

BACKGROUND

DESIGN

Primers for PCR

Our primers address the following design needs

• Design specification 1 - explanation of how an aspect of the primers addresses any of the specifications in the "New System: Design Strategy" section
• Design specification 2 - explanation of how an aspect of the primers addresses any of the specifications in the "New System: Design Strategy" section
• Etc.

## New System: Software

[THIS SECTION IS OPTIONAL. If your team has creative ideas for new software, and new software is a key component included in your new protocols, R&D, or machine design, you may describe it here. You will not receive bonus points, but a solid effort may raise your overall page layout points. If you decide not to propose new software, please delete this entire section, including the ==New System: Software== header.]