Clustering and Differential Alignment Algorithm: Identification of Early Stage Regulators in the Arabidopsis thaliana Iron Deficiency Response

Time course transcriptome datasets are commonly used to predict key gene regulators associated with stress responses and to explore gene functionality. Techniques developed to extract causal relationships between genes from high throughput time course expression data are limited by low signal levels...

Descripción completa

Detalles Bibliográficos
Autores principales: Koryachko, Alexandr, Matthiadis, Anna, Muhammad, Durreshahwar, Foret, Jessica, Brady, Siobhan M., Ducoste, Joel J., Tuck, James, Long, Terri A., Williams, Cranos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4552565/
https://www.ncbi.nlm.nih.gov/pubmed/26317202
http://dx.doi.org/10.1371/journal.pone.0136591

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4552565/
https://www.ncbi.nlm.nih.gov/pubmed/26317202
http://dx.doi.org/10.1371/journal.pone.0136591

Ejemplares similares