Ymesfin Week 8 - Revision history

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 ==Conclusion==
-The ANOVA suggest that approximately 40.1% of the collected data is statistically significant and had p values less than 0.05. However, given the large number of data entries used in the study, it is not unreasonable to assume that some of the significant results are due to chance, regardless whether the p values were less than 0.05. Approximately 4.5% of the data contained p values
+In this study, yeast cells (saccharomyces cerevisiae) were exposed to a cold shock to monitor how their gene expression levels related to environmental temperatures. The ANOVA suggest that approximately 40.1% of the collected data is statistically significant and had p values less than 0.05. However, given the large number of data entries used in the study, it is not unreasonable to assume that some of the significant results are due to chance, regardless of whether the p values were less than 0.05. Nonetheless, 4.5% of the data contained p values less than 0.0001, substantiating the significance of at least some of the data. Thus, the database suggests that there is a relationship between the expression levels of certain genes of saccharomyces cerevisiae and the cold shock treatments.
 [[User:Ymesfin| Ymesfin]]

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 ==Conclusion==
+The ANOVA suggest that approximately 40.1% of the collected data is statistically significant and had p values less than 0.05. However, given the large number of data entries used in the study, it is not unreasonable to assume that some of the significant results are due to chance, regardless whether the p values were less than 0.05. Approximately 4.5% of the data contained p values
 [[User:Ymesfin| Ymesfin]]

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 ==Purpose==
 The purpose of this assignment was to create a detailed electronic lab notebook to statistically analyze a DNA microarray dataset and to demonstrate our understanding of p-value cut-offs.
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 [[Media: Ymesfin_dHAP4_sanity_check_and_stem.pptx| P Values and Stem Results]]

← Older revision		Revision as of 08:36, 23 October 2019
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	LMU BioDB 2019. (2019). Week 7. Retrieved October 16, 2019, from https://xmlpipedb.cs.lmu.edu/biodb/fall2019/index.php/Week_7		LMU BioDB 2019. (2019). Week 7. Retrieved October 16, 2019, from https://xmlpipedb.cs.lmu.edu/biodb/fall2019/index.php/Week_7

−	LMU BioDB 2019. (2019). Week 8. Retrieved October 17, 2019, from https://xmlpipedb.cs.lmu.edu/biodb/fall2019/index.php/Week_8	+	LMU BioDB 2019. (2019). Week 8. Retrieved October 23, 2019, from https://xmlpipedb.cs.lmu.edu/biodb/fall2019/index.php/Week_8

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 ##Performed Benjamini & Hochberg p value Correction for each data point
 ##Performed Sanity check
 ==Results==

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 #*The data was obtained from the following file: [[Media: Ymesfin_BIOL367_F19_microarray-data_dHAP4(7846).xlsx| Ymesfin_BIOL367_F19_microarray-data_dHAP4(7846).xlsx]]
 #*The file had timepoints at 15, 30, 60, 90, and 120 minutes. All the timepoints had 4 replicates but the 90 and 120 minute timepoints had 3 replicates. There were a total of 6189 samples in this dataset.
 #Performed ANOVA Statistical Analysis
 ##Calculated average results for each datapoint.

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 Except for what is noted above, this individual journal entry was completed by me and not copied from another source.
-[[User:Ymesfin|Ymesfin]] ([[User talk:Ymesfin|talk]]) 00:26, 16 October 2019 (PDT)
+[[User:Ymesfin|Ymesfin]] ([[User talk:Ymesfin|talk]]) 01:32, 23 October 2019 (PDT)
 ==References==

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 ==Purpose==
-The purpose of this assignment was to create a detailed electronic lab notebook that analyzes a DNA microarray dataset and to demonstrate our understanding of p-value cut-offs.
+The purpose of this assignment was to create a detailed electronic lab notebook to statistically analyze a DNA microarray dataset and to demonstrate our understanding of p-value cut-offs.
 [[Week 7| Week 7 Assignment]]