Visual Clustering of Transcriptomic Data from Primary and Metastatic Tumors - Dependencies and Novel Pitfalls
A. Marquardt, P. Kollmannsberger, M. Krebs, A. Argentiero, M. Knott, A. G. Solimando, A. Kerscher
The paper evaluates how data transformation and dimension reduction methods affect clustering of transcriptomic data from metastases and primary tumors, finding no strong link between tumor site and cluster formation.
bioRxiv · Dec 3, 2021Cancer Biology