Network integration of multi-tumour omics data suggests novel targeting strategies
oleh: Ítalo Faria do Valle, Giulia Menichetti, Giorgia Simonetti, Samantha Bruno, Isabella Zironi, Danielle Fernandes Durso, José C. M. Mombach, Giovanni Martinelli, Gastone Castellani, Daniel Remondini
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2018-10-01 |
Deskripsi
Tumours of different tissues can show similarities in genomic alterations. Here, the authors combine tumour transcriptome and protein interaction data in a network-based analysis of 11 tumours types, and identify clusters of tumours with specific signatures for multi-tumour drug targeting and survival prognosis.