Difference between revisions of "Knguye66 Week 7"

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== Notes before starting ==
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<!--== Notes before starting ==
  
* T-test -> is this gene expression change significantly different than zero?  
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* T-test is this gene expression change significantly different than zero?  
 
* p<0.05: probability that you would have at least this big of a change by chance
 
* p<0.05: probability that you would have at least this big of a change by chance
 
**ie. when we have 6189 genes, there are 6189 t-tests, are they significant? when we say there's a p<0.05, there's a 5% chance it's due to chance... meaning, if we have 6189 (5% of these are significant just by chance)
 
**ie. when we have 6189 genes, there are 6189 t-tests, are they significant? when we say there's a p<0.05, there's a 5% chance it's due to chance... meaning, if we have 6189 (5% of these are significant just by chance)
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* variation is sample measurements
 
* variation is sample measurements
 
*number of samples/measurements
 
*number of samples/measurements
 +
* ANOVA  is the gene expression significantly different than zero at any time point?
 +
This week we will only be doing: experimental design and getting ready
 +
* starting file: excel (reference this as a link)
 +
* record file name and time point for data-->
  
 
== Microrray Data Analysis (wild type data) ==
 
== Microrray Data Analysis (wild type data) ==
  
=== Background ===
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==== Purpose ====
 +
This week's assignment is to finish the requirements for "Experimental Design and Getting Ready"
  
==== Part 1: Statistical Analysis Part 1 ====
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==== Methods/Results ====
 
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* Download file, re-name, and upload onto wiki page
==== Bonferroni and p value Correction ====
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* Strain observed: wild-type (wt)
 
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* Number of replicates: 5 (0-4) for each time point (t15, t30, t60, t90, t120)
==== Benjamini & Hochberg p value Correction ====
 
 
 
==== Sanity Check ====
 
 
 
- The number of genes that are significantly changed at p value cut-off of p < 0.05 -
 
* How many genes have p < 0.05? and what is the percentage (out of 6189)?
 
** -
 
* How many genes have p < 0.01? and what is the percentage (out of 6189)?
 
** -
 
* How many genes have p < 0.001? and what is the percentage (out of 6189)?
 
** -
 
* How many genes have p < 0.0001? and what is the percentage (out of 6189)?
 
** -
 
 
 
- Filter data to determine the following -
 
* How many genes are p < 0.05 for the Bonferroni-corrected p value? and what is the percentage (out of 6189)?
 
** -
 
* How many genes are p < 0.05 for the Benjamini and Hochberg-corrected p value? and what is the percentage (out of 6189)?
 
** -
 
 
 
- Compare your results with known data. Note that the average Log fold change is what we called "STRAIN)_AvgLogFC_(TIME)" in step 3 of the ANOVA analysis. Does NSR1 change expression due to cold shock in this experiment? -
 
* Find NSR1 in your dataset. What is its unadjusted, Bonferroni-corrected, and B-H-corrected p values? What is its average Log fold change at each of the timepoints in the experiment?
 
** -
 
 
 
- Find your favorite gene from Week 3. What is its unadjusted, Bonferroni-corrected, and B-H-corrected p values? What is its average Log fold change at each of the timepoints in the experiment? Does your favorite gene change expression due to cold shock in this experiment? -
 
** -
 
  
 
==== Data and Files ====
 
==== Data and Files ====
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*File: [[File:WildType_knguye66_Microarray wt.xlsx]]
  
 
==== Conclusion ====
 
==== Conclusion ====
 +
N/A
  
 
== Acknowledgements ==
 
== Acknowledgements ==
This section is in acknowledgement to partner Christina Dominguez [[User:Cdomin12]], as well as, Marcus Avila [[User:Mavila9]] and Jonar Cowan [[User:Jcowan4]]
+
This section is in acknowledgement to partner Christina Dominguez ([[User:Cdomin12]]), as well as, Marcus Avila ([[User:Mavila9]]) and Jonar Cowan ([[User:Jcowan4]]).
  
"Except for what is noted above, this individual journal entry was completed by me and not copied from another source."  
+
"Except for what is noted above, this individual journal entry was completed by me and not copied from another source." [[User:Knguye66|Knguye66]] ([[User talk:Knguye66|talk]]) 16:11, 16 October 2019 (PDT)
  
 
{{Template:knguye66}}
 
{{Template:knguye66}}
  
 
== References ==
 
== References ==

Latest revision as of 15:11, 16 October 2019


Microrray Data Analysis (wild type data)

Purpose

This week's assignment is to finish the requirements for "Experimental Design and Getting Ready"

Methods/Results

  • Download file, re-name, and upload onto wiki page
  • Strain observed: wild-type (wt)
  • Number of replicates: 5 (0-4) for each time point (t15, t30, t60, t90, t120)

Data and Files

Conclusion

N/A

Acknowledgements

This section is in acknowledgement to partner Christina Dominguez (User:Cdomin12), as well as, Marcus Avila (User:Mavila9) and Jonar Cowan (User:Jcowan4).

"Except for what is noted above, this individual journal entry was completed by me and not copied from another source." Knguye66 (talk) 16:11, 16 October 2019 (PDT)

User Page

User:knguye66

Template Page

Template:knguye66


Table of all assignments and journal entries for BIO-367-01

Week Individual Journal Entry Shared Journal
Week 1 - Class Journal Week 1
Week 2 knguye66 Week 2 Class Journal Week 2
Week 3 ILT1/YDR090C Week 3 Class Journal Week 3
Week 4 knguye66 Week 4 Class Journal Week 4
Week 5 DrugCentral Week 5 Class Journal Week 5
Week 6 knguye66 Week 6 Class Journal Week 6
Week 7 knguye66 Week 7 Class Journal Week 7
Week 8 knguye66 Week 8 Class Journal Week 8
Week 9 knguye66 Week 9 Class Journal Week 9
Week 10 knguye66 Week 10 Class Journal Week 10
Week 11 knguye66 Week 11 FunGals
Week 12/13 knguye66 Eyoung20 Week 12/13 FunGals
Week 15 knguye66 Eyoung20 Week 15 Class Journal Week 15

References