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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877669/ https://www.ncbi.nlm.nih.gov/pubmed/33571253 http://dx.doi.org/10.1371/journal.pone.0246945 |