Correlation-guided Network Integration (CoNI), an R package for integrating numerical omics data that allows multiform graph representations to study molecular interaction networks. | Bioinform Adv;2(1): vbac042, 2022. | MEDLINE

Main content 1 Search 2 Footer 3

+A A -A High contrast

VHL Regional Portal

Information and Knowledge for Health

Subject descriptor lookup Advanced Search EVID@Easy

Correlation-guided Network Integration (CoNI), an R package for integrating numerical omics data that allows multiform graph representations to study molecular interaction networks.

Monroy Kuhn, José Manuel; Miok, Viktorian; Lutter, Dominik.

Affiliation

Monroy Kuhn JM; Computational Discovery Unit, Institute for Diabetes & Obesity, Helmholtz Zentrum München, Neuherberg, Germany.
Miok V; German Center for Diabetes Research (DZD), Neuherberg, Germany.
Lutter D; Computational Discovery Unit, Institute for Diabetes & Obesity, Helmholtz Zentrum München, Neuherberg, Germany.

Bioinform Adv ; 2(1): vbac042, 2022.

Article in En | MEDLINE | ID: mdl-36699352

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Bioinform Adv Year: 2022 Document type: Article Affiliation country: Germany

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Bioinform Adv Year: 2022 Document type: Article Affiliation country: Germany