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Autoregressive Higher-Order Hidden Markov Models: Exploiting Local Chromosomal Dependencies in the Analysis of Tumor Expression Profiles
Changes in gene expression programs play a central role in cancer. Chromosomal aberrations such as deletions, duplications and translocations of DNA segments can lead to highly significant positive correlations of gene expression levels of neighboring genes. This should be utilized to improve the an...
Autores principales: | Seifert, Michael, Abou-El-Ardat, Khalil, Friedrich, Betty, Klink, Barbara, Deutsch, Andreas |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4067306/ https://www.ncbi.nlm.nih.gov/pubmed/24955771 http://dx.doi.org/10.1371/journal.pone.0100295 |
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