Lucia I. Ramirez Week 11: Difference between revisions
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t90 = 4 | t90 = 4 | ||
t120 (cold shock at 13°C followed by 30 or 60 minutes of recovery at 30°C) = 4 | t120 (cold shock at 13°C followed by 30 or 60 minutes of recovery at 30°C) = 4 | ||
How many genes have p < 0.05? and what is the percentage (out of 6189)? 2378 | |||
How many genes have p < 0.01? and what is the percentage (out of 6189)? 1527 | |||
How many genes have p < 0.001? and what is the percentage (out of 6189)? 860 | |||
How many genes have p < 0.0001? and what is the percentage (out of 6189)? 460 | |||
Revision as of 10:18, 26 March 2015
For the modeling project, we will analyze a Dahlquist lab microarray dataset comparing the wild type strain to a different strain of yeast. For the statistical analysis, I will analyze the wild type data and Lauren will analyze the alternate strain:
- Wild type vs. Δhmo1: Lucia and Lauren
Excell Spreadsheet File name: Dahlquist_Lab_Microarray_Data_dHMO1
The timepoints are t15 = 4 t30 = 4 t60 (cold shock at 13°C) = 4 t90 = 4 t120 (cold shock at 13°C followed by 30 or 60 minutes of recovery at 30°C) = 4
How many genes have p < 0.05? and what is the percentage (out of 6189)? 2378
How many genes have p < 0.01? and what is the percentage (out of 6189)? 1527
How many genes have p < 0.001? and what is the percentage (out of 6189)? 860
How many genes have p < 0.0001? and what is the percentage (out of 6189)? 460
