Timm, Wiebke; Scherbart, Alexandra; Boecker, Sebastian; Kohlbacher, Oliver; Nattkemper, Tim Wilhelm: Peak intensity prediction in MALDI-TOF mass spectrometry: A machine learning study to support quantitative proteomics. In: BMC Bioinformatics. Jg.9 H. 1. 2008, S. 443 ff.
Inhalt
- Methods
- Machine learning methods
- Linear model (LM)
- Feature extraction
- Feature selection
- Evaluation techniques
- Results and discussion
- Best performance
- Dependence on peak intensity
- Dependence on the learning architecture
- Influence of features sets
- Analysis of the selected features
- Dataset dependence
- Conclusion
- Authors' contributions
- Additional material
- Acknowledgements
- References