PCSF: An R-package for network-based interpretation of high-throughput data

With the recent technological developments a vast amount of high-throughput data has been profiled to understand the mechanism of complex diseases. The current bioinformatics challenge is to interpret the data and underlying biology, where efficient algorithms for analyzing heterogeneous high-throug...

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Detalles Bibliográficos
Autores principales: Akhmedov, Murodzhon, Kedaigle, Amanda, Chong, Renan Escalante, Montemanni, Roberto, Bertoni, Francesco, Fraenkel, Ernest, Kwee, Ivo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5552342/
https://www.ncbi.nlm.nih.gov/pubmed/28759592
http://dx.doi.org/10.1371/journal.pcbi.1005694

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5552342/
https://www.ncbi.nlm.nih.gov/pubmed/28759592
http://dx.doi.org/10.1371/journal.pcbi.1005694

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