Protein localization on cellular images with Markov random fields

@article{Liu2008ProteinLO,
  title={Protein localization on cellular images with Markov random fields},
  author={Song Liu and Jagath C. Rajapakse},
  journal={2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)},
  year={2008},
  pages={2127-2132}
}
There has been an increasing interest recently in identifying subcellular proteins from cellular images in order to understachind subcellular activities of cells. However, accuracies of the prediction tend to decrease with the number of protein subcellular localization classes. Therefore in this paper, we introduce a multiple-cell model with a higher-order Markov random fields (MRF) to combine predictions on multiple cells to make inferences on protein localizations of individual cells. The… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

Explore Further: Topics Discussed in This Paper

References

Publications referenced by this paper.
Showing 1-10 of 21 references

A Novel Graphical Model Approach to Segmenting Cell Images

2006 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology • 2006

Automated recognition of mitotic patterns in fluorescence microscopy images of human cells

3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006. • 2006
View 1 Excerpt

Feature Selection for Evaluating Fluorescence Microscopy Images in Genome-Wide Cell Screens

2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06) • 2006
View 1 Excerpt

Similar Papers

Loading similar papers…