Activity 4: Online example

Objectives: Cluster transcriptomics samples

Workflow

• Go to the Babelomics page and select the Clustering option from the Expression menu.
• Press the online example and you will see how the parameters and form fields are now filled. As you can notice, this example is prepared to perform a clustering analysis on genes (rows) and conditions (columns) using the K-means algorithm with 5 sample-clusters and 15 gene-clusters. Here, the selected distance is Euclidean (square).
• Press Launch job, and wait for your job to be finished.
• When the process finishes, a new blue job is shown at the right side of the web page. Press it to check your results.

Questions. These are some questions that you should be able to answer about the previous example:

• Do you think that the clustering was able to differentiate any group of coexpressed genes?
• How many sample clusters are there? and gene clusters?
• Launch this online example using different clustering methods and compare the results. Which are the differences between the results of these results for different methods?