Transcriptomic pan‐cancer analysis using rank‐based Bayesian inference
The analysis of whole genomes of pan‐cancer data sets provides a challenge for researchers, and we contribute to the literature concerning the identification of robust subgroups with clear biological interpretation. Specifically, we tackle this unsupervised problem via a novel rank‐based Bayesian cl...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-04-01
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| Series: | Molecular Oncology |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/1878-0261.13354 |