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A mixture model to detect edges in sparse co-expression graphs with an application for comparing breast cancer subtypes
We develop a method to recover a gene network’s structure from co-expression data, measured in terms of normalized Pearson’s correlation coefficients between gene pairs. We treat these co-expression measurements as weights in the complete graph in which nodes correspond to genes. To decide which edg...
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| Publicado no: | PLoS One |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7877669/ https://ncbi.nlm.nih.gov/pubmed/33571253 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0246945 |
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