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84 Publikationen
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1636280 
Timm, W., Scherbart, A., Boecker, S., Kohlbacher, O., & Nattkemper, T. W. (2008). Peak intensity prediction in MALDI-TOF mass spectrometry: A machine learning study to support quantitative proteomics. BMC Bioinformatics, 9(1), 443. doi:10.1186/1471-2105-9-443
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| PDF | DOI | WoS | PubMed | Europe PMC
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1585611
Wei, N., Flaschel, E., Friehs, K., & Nattkemper, T. W. (2008). A machine vision system for automated non-invasive assessment of cell viability via dark field microscopy, wavelet feature selection and classification. BMC Bioinformatics, 9(1), 449. doi:10.1186/1471-2105-9-449
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2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1587052
Martin, C., Diaz, N. N., Ontrup, J., & Nattkemper, T. W. (2008). Hyperbolic SOM-based clustering of DNA fragment features for taxonomic visualization and classification. Bioinformatics, 24(14), 1568-1574. doi:10.1093/bioinformatics/btn257
PUB | DOI | WoS | PubMed | Europe PMC
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1588286
Twellmann, T., Meyer-Baese, A., Lange, O., Foo, S., & Nattkemper, T. W. (2008). Model-free visualization of suspicious lesions in breast MRI based on supervised and unsupervised learning. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 21(2), 129-140. doi:10.1016/j.engappai.2007.04.005
PUB | DOI | WoS | PubMed | Europe PMC
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1783364
Krause, L., Diaz, N. N., Goesmann, A., Kelley, S., Nattkemper, T. W., Rohwer, F., Edwards, R. A., et al. (2008). Phylogenetic classification of short environmental DNA fragments. Nucleic Acids Research, 36(7), 2230-2239. doi:10.1093/nar/gkn038
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2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2018409
Martin, C., & Nattkemper, T. W. (2008). A Tree Index to Support Clustering Based Exploratory Data Analysis. Bioinformatics Research and Development : Second International Conference, BIRD 2008 Vienna, Austria, July 7-9, 2008 Proceedings, 13, 1-15. doi:10.1007/978-3-540-70600-7_1
PUB | DOI
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2018435
Scherbart, A., Timm, W., Böcker, S., & Nattkemper, T. W. (2008). Improved Mass Spectrometry Peak Intensity Prediction by Adaptive Feature Weighting. International Conference on Neural Information Processing. doi:10.1007/978-3-642-02490-0_63
PUB | DOI
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2018381
Albaum, S., Neuweger, H., Lange, S., Mertens, D., Runte, K., Kalinowski, J., Nattkemper, T. W., et al. (2008). ProSE - "Software as a Service" for Quantitative Proteomics (Poster abstract). HUPO 7th Annual World Congress
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