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1
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29244477844
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A human protein atlas for normal and cancer tissues based on antibody proteomics
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Human Proteome Resource Consortium
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Automated subcellular location determination and high-throughput microscopy
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E. Glory and R. F. Murphy, "Automated subcellular location determination and high-throughput microscopy," Dev Cell, vol. 12, no. 1, pp. 7-16, 2007.
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Glory, E.1
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S.-C. Chen, T. Zhao, G. J. Gordon, and R. F. Murphy, Automated image analysis of protein localization in budding yeast, Bioinformatics, 23, no. 13, pp. i66-71, 2007.
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S.-C. Chen, T. Zhao, G. J. Gordon, and R. F. Murphy, "Automated image analysis of protein localization in budding yeast," Bioinformatics, vol. 23, no. 13, pp. i66-71, 2007.
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4
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Toward a confocal subcellular atlas of the human proteome
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L. Barbe, E. Lundberg, P. Oksvold, A. Stenius, E. Lewin, E. Bjorling, A. Asplund, F. Ponten, H. Brismar, M. Uhlen, and H. Andersson-Svahn, "Toward a confocal subcellular atlas of the human proteome," Mol Cell Proteomics, vol. 7, no. 3, pp. 499-508, 2008.
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Barbe, L.1
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A novel method for reproducible fluorescent labeling of small amounts of antibodies on solid phase
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Automated determination of protein subcellular locations from 3D fluorescence microscope images
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Washington, DC
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M. Velliste and R. F. Murphy, "Automated determination of protein subcellular locations from 3D fluorescence microscope images," in Proc. IEEE Int. Symp. Biomed. Imaging, Washington, DC, 2002, pp. 867-870.
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Velliste, M.1
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Automated recognition of patterns characteristic of subcellular structures in fluorescence microscopy images
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M. V. Boland, M. K. Markey, and R. F. Murphy, "Automated recognition of patterns characteristic of subcellular structures in fluorescence microscopy images," Cytometry, vol. 33, no. 3, pp. 366-375, 1998.
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Boland, M.V.1
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A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of hela cells
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M. V. Boland and R. F. Murphy, "A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of hela cells," Bioinformatics, vol. 17, no. 12, pp. 1213-1223, 2001.
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Fast automated cell phenotype image classification
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N. A. Hamilton, R. S. Pantelic, K. Hanson, and R. D. Teasdale, "Fast automated cell phenotype image classification," BMC Bioinformatics, vol. 8, pp. 110, 2007.
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10
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0141921564
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Robust numerical features for description and classification of subcellular location patterns in fluorescence microscope images
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R. F. Murphy, M. Velliste, and G. Porreca, "Robust numerical features for description and classification of subcellular location patterns in fluorescence microscope images," J. VLSI Signal Process. Syst., vol. 35, no. 3, pp. 311-321, 2003.
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Murphy, R.F.1
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11
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L. Breiman, Random forests, Machine Learning, 45, no. 1, pp. 5-32, 10 2001.
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L. Breiman, "Random forests," Machine Learning, vol. 45, no. 1, pp. 5-32, 10 2001.
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12
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0242628975
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Feature reduction for improved recognition of subcellular location patterns in fluorescence microscope images
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K. Huang, M. Velliste, and R. F. Murphy, "Feature reduction for improved recognition of subcellular location patterns in fluorescence microscope images," Proc. SPIE, vol. 4962, pp. 307-318, 2003.
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Proc. SPIE
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Huang, K.1
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