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Publications of Author

1. Tim W. Nattkemper, Bert Arnrich, Oliver Lichte, Wiebke Timm, Andreas Degenhard, Linda Pointon, Carmel Hayes, Martin O. Leach
   The UK MARIBS Breast Screening Study: Evaluation of radiological features for breast tumour classification in clinical screening with machine learning methods. [Citation Graph (0, 0)][DBLP]
   Artificial Intelligence in Medicine, 2005, v:34, n:2, pp:129-139 [Journal]
   
2. Alexandra Scherbart, Wiebke Timm, Sebastian Böcker, Tim W. Nattkemper
   Neural Network Approach for Mass Spectrometry Prediction by Peptide Prototyping. [Citation Graph (0, 0)][DBLP]
   ICANN (2), 2007, pp:90-99 [Conf]
   
3. 
   Improved Mass Spectrometry Peak Intensity Prediction by Adaptive Feature Weighting. [Citation Graph (, )][DBLP]
   
   
4. 
   Non-linear classification for on-the-fly fractional mass filtering and targeted precursor fragmentation in mass spectrometry experiments. [Citation Graph (, )][DBLP]
   
   
5. 
   Peak intensity prediction in MALDI-TOF mass spectrometry: A machine learning study to support quantitative proteomics. [Citation Graph (, )][DBLP]