Difference between revisions of "Knguye66 Week 7"

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(Notes before starting: add info)
(Microrray Data Analysis (wild type data): add answers and files)
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==== Purpose ====
 
==== Purpose ====
 
+
This week's assignment is to finish the requirements for "Experimental Design and Getting Ready"
 
==== Methods/Results ====
 
==== Methods/Results ====
 
+
* Download file, re-name, and upload onto wiki page
- 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 ====
 +
*File: [[File:WildType_knguye66_Microarray wt.xlsx]]
  
 
==== Conclusion ====
 
==== Conclusion ====

Revision as of 15:05, 16 October 2019

Notes before starting

  • 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
    • 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)
  • magnitude of difference
  • variation is sample 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)

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

Data and Files

Conclusion

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."

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