Ranked prediction of p53 targets using hidden variable dynamic modeling

Full exploitation of microarray data requires hidden information that cannot be extracted using current analysis methodologies. We present a new approach, hidden variable dynamic modeling (HVDM), which derives the hidden profile of a transcription factor from time series microarray data, and generat...

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Detalles Bibliográficos
Autores principales: Barenco, Martino, Tomescu, Daniela, Brewer, Daniel, Callard, Robin, Stark, Jaroslav, Hubank, Michael
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1557743/
https://www.ncbi.nlm.nih.gov/pubmed/16584535
http://dx.doi.org/10.1186/gb-2006-7-3-r25

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1557743/
https://www.ncbi.nlm.nih.gov/pubmed/16584535
http://dx.doi.org/10.1186/gb-2006-7-3-r25

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