Add few more parts to correlation lesson #3
Conversation
|
|
||
| - Class: cmd_question | ||
| Output: "Now lets create a scatter plot to find the relation between RNASeq Gene Expression vs Microarray Gene Expression" |
There was a problem hiding this comment.
expand on the purpose of doing this and what the student should look for in the ggplot, what kind of correlations will they see? maybe explain basics around scatterplots and what they are best used for.
| Output: For calculating correlations between two variables, we have the cor() function which takes as parameters the variables between which the correlations need to be calculated and the method of calculation for correlation. | ||
|
|
||
| - Class: cmd_question | ||
| Output: "Let us first calculate the correlation between RNAseq and microarray using pearson method." |
There was a problem hiding this comment.
Explain Pearson vs Spearman correlation in more detail, what are advantages to each method? Have the student compare the outputs to both and how it may affect their interpretation of the correlation.
| Output: Now we compare ACTB gene expression between RNA-seq and microarray data. For this we first need to create a dataframe, create a scatterplot between RNASeq Gene Expression vs microarray gene expression. | ||
|
|
||
| - Class: cmd_question | ||
| Output: "Lets start by creating a data frame for Tumor vs ACTB gene expression. For this we need to create three columns- tumour, rnaseq and array and obtain data for these columns from the rnaseq_wide and array_wide data for ACTB" |
There was a problem hiding this comment.
Put an overview of our datasets here and review what we've done to prepare each of them, and how the mapping of values is going to occur for when we plot it.
There was a problem hiding this comment.
@souravsingh Great work! This is an awesome basis for this course. Because I anticipate this course to be a little more difficult material wise, I've asked you to flesh out some of the material in some places. <
Please also add hints for every question.
Add a few more questions into Correlation lesson plan. Need feedback.