Evaluation and improvement of the regulatory inference for large co-expression networks with limited sample size

BACKGROUND: Co-expression has been widely used to identify novel regulatory relationships using high throughput measurements, such as microarray and RNA-seq data. Evaluation studies on co-expression network analysis methods mostly focus on networks of small or medium size of up to a few hundred node...

Descripción completa

Detalles Bibliográficos
Autores principales: Guo, Wenbin, Calixto, Cristiane P. G., Tzioutziou, Nikoleta, Lin, Ping, Waugh, Robbie, Brown, John W. S., Zhang, Runxuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5477119/
https://www.ncbi.nlm.nih.gov/pubmed/28629365
http://dx.doi.org/10.1186/s12918-017-0440-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5477119/
https://www.ncbi.nlm.nih.gov/pubmed/28629365
http://dx.doi.org/10.1186/s12918-017-0440-2

Ejemplares similares