Automated image analysis of protein localization in budding yeast
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Robert F. Murphy | Geoffrey J. Gordon | Ting Zhao | Shann-Ching Chen | R. Murphy | Shann-Ching Chen | Ting Zhao
[1] Karsten Rodenacker,et al. Quantification of tissue sections : Graph theory and topology as modelling tools , 1990, Pattern Recognit. Lett..
[2] M. Chalfie. GREEN FLUORESCENT PROTEIN , 1995, Photochemistry and photobiology.
[3] David Botstein,et al. SGD: Saccharomyces Genome Database , 1998, Nucleic Acids Res..
[4] M V Boland,et al. Automated recognition of patterns characteristic of subcellular structures in fluorescence microscopy images. , 1998, Cytometry.
[5] Robert F. Murphy,et al. Towards a Systematics for Protein Subcellular Location: Quantitative Description of Protein Localization Patterns and Automated Analysis of Fluorescence Microscope Images , 2000, ISMB.
[6] Robert F. Murphy,et al. A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cells , 2001, Bioinform..
[7] Chih-Jen Lin,et al. A comparison of methods for multiclass support vector machines , 2002, IEEE Trans. Neural Networks.
[8] Robert F. Murphy,et al. Automated determination of protein subcellular locations from 3D fluorescence microscope images , 2002, Proceedings IEEE International Symposium on Biomedical Imaging.
[9] R. Tsien,et al. A monomeric red fluorescent protein , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[10] Robert F. Murphy,et al. Location proteomics: building subcellular location trees from high-resolution 3D fluorescence microscope images of randomly tagged proteins , 2003, SPIE BiOS.
[11] E. O’Shea,et al. Global analysis of protein localization in budding yeast , 2003, Nature.
[12] Robert F. Murphy,et al. Robust Numerical Features for Description and Classification of Subcellular Location Patterns in Fluorescence Microscope Images , 2003, J. VLSI Signal Process..
[13] Kai Huang,et al. Feature reduction for improved recognition of subcellular location patterns in fluorescence microscope images , 2003, SPIE BiOS.
[14] Kai Huang,et al. Automated classification of subcellular patterns in multicell images without segmentation into single cells , 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).
[15] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[16] Robert F Murphy,et al. From quantitative microscopy to automated image understanding. , 2004, Journal of biomedical optics.
[17] Joakim Lindblad,et al. Robust Cell Image Segmentation Methods , 2004 .
[18] R. Murphy,et al. Objective Clustering of Proteins Based on Subcellular Location Patterns , 2005, Journal of biomedicine & biotechnology.
[19] V. Iyer,et al. Systematic profiling of cellular phenotypes with spotted cell microarrays reveals mating-pheromone response genes , 2006, Genome Biology.
[20] Shoshana J. Wodak,et al. CYGD: the Comprehensive Yeast Genome Database , 2004, Nucleic Acids Res..
[21] Robert F. Murphy,et al. A Novel Graphical Model Approach to Segmenting Cell Images , 2006, 2006 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.