Computational Surprisal Analysis Speeds-Up Genomic Characterization of Cancer Processes

Surprisal analysis is increasingly being applied for the examination of transcription levels in cellular processes, towards revealing inner network structures and predicting response. But to achieve its full potential, surprisal analysis should be integrated into a wider range computational tool. Th...

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Detalles Bibliográficos
Autores principales: Kravchenko-Balasha, Nataly, Simon, Simcha, Levine, R. D., Remacle, F., Exman, Iaakov
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4236016/
https://www.ncbi.nlm.nih.gov/pubmed/25405334
http://dx.doi.org/10.1371/journal.pone.0108549

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4236016/
https://www.ncbi.nlm.nih.gov/pubmed/25405334
http://dx.doi.org/10.1371/journal.pone.0108549

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