Thank you very much for your interest in our work! The Matlab script that was used to determine the optimal number of clusters can be found here: https://github.com/elifesciences-publications/immuneTopography/blob/master/step_03b_findOptimClust.m The core function in this script is the Matlab function "evalclusters" which is extensively documented here: https://de.mathworks.com/help/stats/evalclusters.html. These links should allow you to reproduce the procedure for your project. Hope that helps!
Copyright: Content may be subjected to copyright.
How to cite:
Readers should cite both the Bio-protocol preprint and the original research article where this protocol was used:
Kather, J. N., Suarez-Carmona, M., Charoentong, P., Weis, C., Hirsch, D., Bankhead, P., Horning, M., Ferber, D., Kel, I., Herpel, E., Schott, S., Zörnig, I., Utikal, J., Marx, A., Gaiser, T., Brenner, H., Chang-Claude, J., Hoffmeister, M., Jäger, D. and Halama, N.(2018). Topography of cancer-associated immune cells in human solid tumors. eLife. DOI: 10.7554/eLife.36967
Do you have any questions about this protocol?
Post your question to gather feedback from the community. We will also invite the authors of this
article to respond.
0/150
Tips for asking effective questions
+ Description
Write a detailed description. Include all information that will help others answer your question including experimental processes, conditions, and relevant images.
Spinning
Post a Question
0 Q&A
Spinning
This protocol preprint was submitted via the "Request
a Protocol" track.