Bayesian Mixture Models for Assessment of Gene Differential Behaviour and Prediction of pCR through the Integration of Copy Number and Gene Expression Data

We consider modeling jointly microarray RNA expression and DNA copy number data. We propose Bayesian mixture models that define latent Gaussian probit scores for the DNA and RNA, and integrate between the two platforms via a regression of the RNA probit scores on the DNA probit scores. Such a regres...

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Detalles Bibliográficos
Autores principales: Trentini, Filippo, Ji, Yuan, Iwamoto, Takayuki, Qi, Yuan, Pusztai, Lajos, Müller, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3709899/
https://www.ncbi.nlm.nih.gov/pubmed/23874497
http://dx.doi.org/10.1371/journal.pone.0068071

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3709899/
https://www.ncbi.nlm.nih.gov/pubmed/23874497
http://dx.doi.org/10.1371/journal.pone.0068071

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