Transcriptional gene network inference from a massive dataset elucidates transcriptome organization and gene function

We collected a massive and heterogeneous dataset of 20 255 gene expression profiles (GEPs) from a variety of human samples and experimental conditions, as well as 8895 GEPs from mouse samples. We developed a mutual information (MI) reverse-engineering approach to quantify the extent to which the mRN...

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Detalles Bibliográficos
Autores principales: Belcastro, Vincenzo, Siciliano, Velia, Gregoretti, Francesco, Mithbaokar, Pratibha, Dharmalingam, Gopuraja, Berlingieri, Stefania, Iorio, Francesco, Oliva, Gennaro, Polishchuck, Roman, Brunetti-Pierri, Nicola, di Bernardo, Diego
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3203605/
https://www.ncbi.nlm.nih.gov/pubmed/21785136
http://dx.doi.org/10.1093/nar/gkr593

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3203605/
https://www.ncbi.nlm.nih.gov/pubmed/21785136
http://dx.doi.org/10.1093/nar/gkr593

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