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A novel method for mass spectrometry data representation and analysis

Mohammad Alipoor (Institutionen för signaler och system, Signalbehandling)
17th Iranian Conference of Biomedical Engineering (ICBME), 2010 (2010)
[Konferensbidrag, refereegranskat]

In this paper a novel representation/analysis method on high throughput SELDI-TOF mass-spectroscopy data is developed. To avoid complexity of conventional methods, mass spectrum is converted to an intensity image and then image processing techniques is implemented to solve the cancer classification problem. The proposed system benefits a thoroughly novel and efficient idea to design an image-based pattern recognition system for cancer classification. The system is successfully validated using a well-known ovarian cancer proteomic dataset. Results of applying the method are comparable to state of the art methods in proteomic pattern recognition.



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Denna post skapades 2012-11-29. Senast ändrad 2015-05-08.
CPL Pubid: 166861

 

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Institutioner (Chalmers)

Institutionen för signaler och system, Signalbehandling

Ämnesområden

Livsvetenskaper
Medicinsk bildbehandling

Chalmers infrastruktur