Wiebke Timm - researchr alias

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Viewing Publication 1 - 5 from 5

2010

Non-linear classification for on-the-fly fractional mass filtering and targeted precursor fragmentation in mass spectrometry experimentsMarc Kirchner, Wiebke Timm, Peying Fong, Philine Wangemann, Hanno Steen. bioinformatics, 26(6):791-797, 2010. [doi]

2008

Improved Mass Spectrometry Peak Intensity Prediction by Adaptive Feature WeightingAlexandra Scherbart, Wiebke Timm, Sebastian BÃ¶cker, Tim W. Nattkemper. iconip 2009: 513-520 [doi]

Peak intensity prediction in MALDI-TOF mass spectrometry: A machine learning study to support quantitative proteomicsWiebke Timm, Alexandra Scherbart, Sebastian Böcker, Oliver Kohlbacher, Tim W. Nattkemper. bmcbi, 9, 2008. [doi]

2007

Neural Network Approach for Mass Spectrometry Prediction by Peptide PrototypingAlexandra Scherbart, Wiebke Timm, Sebastian Böcker, Tim W. Nattkemper. icann 2007: 90-99 [doi]

2005

The UK MARIBS Breast Screening Study: Evaluation of radiological features for breast tumour classification in clinical screening with machine learning methodsTim W. Nattkemper, Bert Arnrich, Oliver Lichte, Wiebke Timm, Andreas Degenhard, Linda Pointon, Carmel Hayes, Martin O. Leach. artmed, 34(2):129-139, 2005. [doi]

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