A dynamic time order network for time-series gene expression data analysis

BACKGROUND: Typical analysis of time-series gene expression data such as clustering or graphical models cannot distinguish between early and later drug responsive gene targets in cancer cells. However, these genes would represent good candidate biomarkers. RESULTS: We propose a new model - the dynam...

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Detalles Bibliográficos
Autores principales: Zhang, Pengyue, Mourad, Raphaël, Xiang, Yang, Huang, Kun, Huang, Tim, Nephew, Kenneth, Liu, Yunlong, Li, Lang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3524318/
https://www.ncbi.nlm.nih.gov/pubmed/23281615
http://dx.doi.org/10.1186/1752-0509-6-S3-S9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3524318/
https://www.ncbi.nlm.nih.gov/pubmed/23281615
http://dx.doi.org/10.1186/1752-0509-6-S3-S9

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