Processing 2D Gel Electrophoresis Images for Efficient Gaussian Mixture Modeling
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-60816-7_5
Reference12 articles.
1. Magdeldin, S., Enany, S., Yoshida, Y., Xu, B., Zhang, Y., Zureena, Z., Lokamani, I., Yaoita, E., Yamamoto, T.: Basics and recent advances of two dimensional- polyacrylamide gel electrophoresis. Clin. Proteomics 11, 16 (2014)
2. Marczyk, M.: Mixture modeling of 2D Gel Electrophoresis spots enhances the performance of spot detection. IEEE Trans. Nanobiosci. 16, 91–99 (2017)
3. Tsakanikas, P., Manolakos, E.S.: Protein spot detection and quantification in 2-DE gel images using machine-learning methods. Proteomics 11, 2038–2050 (2011)
4. Rogers, M., Graham, J., Tonge, R.P.: Statistical models of shape for the analysis of protein spots in two-dimensional electrophoresis gel images. Proteomics 3, 887–896 (2003)
5. Peer, P., Corzo, L.G.: Local pixel value collection algorithm for spot segmentation in two-dimensional gel electrophoresis research. Comp. Func. Genom. (2007). Article ID 89596
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