Visual Clustering of Transcriptomic Data from Primary and Metastatic Tumors—Dependencies and Novel Pitfalls

Visual Clustering of Transcriptomic Data from Primary and Metastatic Tumors—Dependencies and Novel Pitfalls

Personalized oncology is a rapidly evolving area and offers cancer patients therapy options that are more specific than ever. However, there is still a lack of understanding regarding transcriptomic similarities or differences of metastases and corresponding primary sites. Applying two unsupervised...

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Bibliographic Details
Main Authors: André Marquardt, Philip Kollmannsberger, Markus Krebs, Antonella Argentiero, Markus Knott, Antonio Giovanni Solimando, Alexander Georg Kerscher
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Genes
Subjects:
visual clustering
t-SNE
UMAP
transcriptomic analysis
cancer
metastasis
Online Access:https://www.mdpi.com/2073-4425/13/8/1335

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