Exercise 35A: heat map for RNASeq data

Function to import the data set without having to change the default settings of the arguments?

What type of data do you need as input for the heat map?

If you convert heat to a matrix using as.matrix(heat), can you use the result as an input for the heat map?

Where can you find the sample names?

Next we need a column with the group annotation of the samples.
Samples are divided over 2 groups: control and treated:
sample 1 is control
sample 2 is treated
sample 3 is control
sample 4 is treated
and so on…

Which code will create the correct column?

What is the input for pheatmap()?

Suppose I want to scale the genes. Which argument of the pheatmap() function do I need to set for this?

Which argument of pheatmap() do I need to set to specify the size of the tiles? Answer must be 1 word. There are 2 correct answers, 1 of them is ok.

Suppose we want to make a typical heat map with colors green, black and red. What is the value for the color argument?

Which argument of pheatmap() can you use to make the names of the genes smaller? Answer must be one word. 

What argument of pheatmap() will set the size of the dendrogram of the genes?

What argument of pheatmap() will add a title to the plot?

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