Inference of gene interaction networks using conserved subsequential patterns from multiple time course gene expression datasets

MOTIVATION: Deciphering gene interaction networks (GINs) from time-course gene expression (TCGx) data is highly valuable to understand gene behaviors (e.g., activation, inhibition, time-lagged causality) at the system level. Existing methods usually use a global or local proximity measure to infer G...

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Detalles Bibliográficos
Autores principales: Liu, Qian, Song, Renhua, Li, Jinyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4682423/
https://www.ncbi.nlm.nih.gov/pubmed/26681650
http://dx.doi.org/10.1186/1471-2164-16-S12-S4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4682423/
https://www.ncbi.nlm.nih.gov/pubmed/26681650
http://dx.doi.org/10.1186/1471-2164-16-S12-S4

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