Network-based machine learning in colorectal and bladder organoid models predicts anti-cancer drug efficacy in patients
oleh: JungHo Kong, Heetak Lee, Donghyo Kim, Seong Kyu Han, Doyeon Ha, Kunyoo Shin, Sanguk Kim
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2020-10-01 |
Deskripsi
Cancer patient classification using predictive biomarkers for anti-cancer drug responses is essential for improving therapeutic outcomes. Here, the authors present a machine-learning framework to identify robust drug biomarkers by taking advantage of network-based analyses using pharmacogenomic data.