A general index for linear and nonlinear correlations for high dimensional genomic data

BACKGROUND: With the advance of high throughput sequencing, high-dimensional data are generated. Detecting dependence/correlation between these datasets is becoming one of most important issues in multi-dimensional data integration and co-expression network construction. RNA-sequencing data is widel...

Descripción completa

Detalles Bibliográficos
Autores principales: Yao, Zhihao, Zhang, Jing, Zou, Xiufen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706065/
https://www.ncbi.nlm.nih.gov/pubmed/33256599
http://dx.doi.org/10.1186/s12864-020-07246-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706065/
https://www.ncbi.nlm.nih.gov/pubmed/33256599
http://dx.doi.org/10.1186/s12864-020-07246-x

Ejemplares similares