iDINGO-integrative differential network analysis in genomics with Shiny application.
Bioinformatics
; 34(7): 1243-1245, 2018 04 01.
Article
em En
| MEDLINE
| ID: mdl-29194470
ABSTRACT
Motivation Differential network analysis is an important way to understand network rewiring involved in disease progression and development. Building differential networks from multiple 'omics data provides insight into the holistic differences of the interactive system under different patient-specific groups. DINGO was developed to infer group-specific dependencies and build differential networks. However, DINGO and other existing tools are limited to analyze data arising from a single platform, and modeling each of the multiple 'omics data independently does not account for the hierarchical structure of the data. Results:
We developed the iDINGO R package to estimate group-specific dependencies and make inferences on the integrative differential networks, considering the biological hierarchy among the platforms. A Shiny application has also been developed to facilitate easier analysis and visualization of results, including integrative differential networks and hub gene identification across platforms. Availability and implementation R package is available on CRAN (https//cran.r-project.org/web/packages/iDINGO) and Shiny application at https//github.com/MinJinHa/iDINGO. Contact mjha@mdanderson.org. Supplementary information Supplementary data are available at Bioinformatics online.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Software
/
Progressão da Doença
/
Biologia Computacional
Limite:
Humans
Idioma:
En
Revista:
Bioinformatics
Assunto da revista:
INFORMATICA MEDICA
Ano de publicação:
2018
Tipo de documento:
Article
País de afiliação:
Estados Unidos