Data and Software used for the paper:

• L.P. Coelho, A. Shariff and R. F. Murphy (2009). Nuclear segmentation in microsope cell images: A hand-segmented dataset and comparison of algorithms. Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging (ISBI 2009), pp. 518-521.

Data and Software used for the paper:

• J. Newberg and R. F. Murphy (2008). A Framework for the Automated Analysis of Subcellular Patterns in Human Protein Atlas Images. J. Proteome Res. 7:2300-2308.

Data and Software used for the paper:

• Y. Qian and R.F. Murphy. (2007). Improved Recognition of Figures containing Fluorescence Microscope Images in Online Journal Articles using Graphical Models. Bioinformatics 24:569-576.

Data and Software used for the paper:

• T. Zhao and R.F. Murphy. (2007) Automated learning of generative models for subcellular location: Building blocks for systems biology. Cytometry 71A:978-990.

Data and Software used for the paper:

• S.-C. Chen, T. Zhao, G. J. Gordon and R. F. Murphy (2007) Automated Image Analysis of Protein Localization in Budding Yeast. Bioinformatics 23:i6-i71.

Software used for the paper:

• E. Garcia Osuna, J. Hua, N.W. Bateman, T. Zhao, P.B. Berget and R.F. Murphy (2007). Large-Scale Automated Analysis of Location Patterns in Randomly Tagged 3T3 Cells. Annals Biomed. Eng. 35:1081-1087.
  

Data and Software used for the paper:

• T. Zhao, S. Soto and R. F. Murphy (2006). Improved Comparison of Subcellular Location Patterns. Proceedings of the 2006 International Symposium on Biomedical Imaging, pp. 562-565.
  

Data and Software used for the paper:

• S.-C. Chen, G. Gordon and R.F. Murphy. (2006) A Novel Approximate Inference Approach To Automated Classification Of Protein Subcellular Location Patterns In Multi-Cell Images. Proceedings of the 2006 International Symposium on Biomedical Imaging, pp. 558-561.
  

Data and Software used for the paper:

• S.-C. Chen and R.F. Murphy. (2006) A Graphical Model Approach to Automated Classification of Protein Subcellular Location Patterns in Multi-Cell Images. BMC Bioinformatics 7:90.
  

Software used for the paper:

• M.V. Boland, R.F. Murphy. (2001) A Neural Network Classifier Capable of Recognizing the Patterns of all Major Subcellular Structures in Fluorescence Microscope Images of HeLa Cells. Bioinformatics 17:1213-1223.
  

Last Updated: 08 Jul 2009

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