Difference between revisions of "Knguye66 Week 7"
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==== Data and Files ==== | ==== Data and Files ==== | ||
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+ | == Acknowledgements == | ||
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+ | == References == |
Revision as of 14:20, 15 October 2019
Contents
Microrray Data Analysis (wild type data)
Background
Part 1: Statistical Analysis Part 1
Bonferroni and p value Correction
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)?
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- How many genes have p < 0.01? and what is the percentage (out of 6189)?
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- How many genes have p < 0.001? and what is the percentage (out of 6189)?
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- How many genes have p < 0.0001? and what is the percentage (out of 6189)?
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- 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)?
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- How many genes are p < 0.05 for the Benjamini and Hochberg-corrected p value? and what is the percentage (out of 6189)?
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- 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?
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- 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? -
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