Bayesian variable selection with graphical structure learning: Applications in integrative genomics.
Significant advances in biotechnology have allowed for simultaneous measurement of molecular data across multiple genomic, epigenomic and transcriptomic levels from a single tumor/patient sample. This has motivated systematic data-driven approaches to integrate multi-dimensional structured datasets,...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC6066211?pdf=render |