Table 1.
Reviews | Drug response prediction | Data integration | Summary of recent ML methods | Experimental comparison |
---|---|---|---|---|
Computational models for predicting drug responses in cancer research [6] | ✓ | ✓ | ||
Algorithms for drug sensitivity prediction [7] | ✓ | ✓ | ✓ | |
A review on machine learning principles for multi-view biological data integration [8] | ✓ | |||
More is better: recent progress in multi-omics data integration methods [9] | ✓ | ✓ | ||
Comparison and evaluation of integrative methods for the analysis of multilevel omics data: a study based on simulated and experimental cancer data [10] | ✓ | ✓ | ✓ | |
Machine learning and feature selection for drug response prediction in precision oncology applications [11] | ✓ | ✓ | ✓ | |
Improving drug response prediction by integrating multiple heterogeneous data sources from machine learning view point (this review) | ✓ | ✓ | ✓ | ✓ |