Dissection of gene expression datasets into clinically relevant interaction signatures via high-dimensional correlation maximization
oleh: Michael Grau, Georg Lenz, Peter Lenz
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2019-11-01 |
Deskripsi
Identification of clinically relevant gene expression signatures for cancer stratification remains challenging. Here, the authors introduce a flexible nonlinear signal superposition model that enables dissection of large gene expression data sets into signatures and extraction of gene interactions.