Commit 9d63ef4f authored by Morten Brun's avatar Morten Brun
Browse files

finalizing exercises

parent e9ab5fff
......@@ -26,8 +26,14 @@ validation and, if possible, to extract discriminating genes.
above for all the samples that have been left out.
* Do the above multiple times and find the probability of the
prediction beeing correct.
* Find the gene ids with the highest coefficient in the components for
the PCA. Do they discriminate the samples for different exposures?
Take a look at sparse PCA and discuss how it can be used to find
more relevant gene ids.
* Figure out how to translate he gene ids to gene names.
* Execute the remaining notebooks in the morten/python folder.
* Analyze a new data set. Are you able to learn the exposures of the samples?
* Analyze a data set of your own. Are you able to learn the exposures
of your samples?
......@@ -56,7 +62,7 @@ inform me if you figure out a way to do that.
Follow these [instructions](
### Install dependincies
### Install dependencies
Navigate to this folder with the terminal or the Anaconda Promt. In the terminal/Promt type
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