Mavila9 Week 8

From LMU BioDB 2019
Revision as of 14:24, 20 October 2019 by Mavila9 (talk | contribs) (Conclusion: explanation)
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Links

User Page

Template:mavila9

Assignment Page Individual Journal Entry Class Journal Entry
Week 1 Week 1 (User page) Shared Journal Week 1
Week 2 Mavila9 Week 2 Shared Journal Week 2
Week 3 Gene Page Week 3 Shared Journal Week 3
Week 4 Journal Entry Page Week 4 Shared Journal Week 4
Week 5 RNAct Database Page Week 5 Shared Journal Week 5
Week 6 Journal Entry Page Week 6 Shared Journal Week 6
Week 7 Journal Entry Page Week 7 Shared Journal Week 7
Week 8 Journal Entry Page Week 8 Shared Journal Week 8
Week 9 Journal Entry Page Week 9 Shared Journal Week 9
Week 10 Journal Entry Page Week 10 Shared Journal Week 10
Week 11 Sulfiknights Team Page Shared Journal Week 10
Journal Entry Page Week 11
Week 12/13 Journal Entry Page Week 12 Shared Journal Week 11
Week 12/13 Sulfiknights DA Week 12/13 Shared Journal Week 12
N/A Sulfiknights DA Week 14

Purpose

This investigation was done to analyze the data of the life cycle for a DNA microarray dataset and develop knowledge about what different p-value cut-offs mean.

Methods & Results

  • Steps were followed according to the "Calculate the Bonferroni and p value Correction" and "Calculate the Benjamini & Hochberg p value Correction" sections of the Week 8 assignment page
  • The sanity check in step 22 of "Statistical Analysis Part 1: ANOVA" showed that 2528 out of the 6189 samples have a p-value of less than 0.05

Data

File:BIOL367 F19 microarray-data wtMAVILA9 Benjamini&Hochberg Pvalue Correction.zip

Conclusion

In conclusion, the wild type p-values were calculated for each gene allowing statistical significance to be determined. Next Bonferroni and Benjamini & Hochberg p-value adjustments were done to correct for the multiple testing problem.

Acknowledgements

References