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Image-based spatiotemporal causality inference for protein signaling networks.

, , and . Bioinform., 33 (14): i217-i224 (2017)

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Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Subcellular Location Patterns., , and . J. Mach. Learn. Res., (2008)Automated image analysis of protein localization in budding yeast., , , and . ISMB/ECCB (Supplement of Bioinformatics), page 66-71. (2007)Towards a Systematics for Protein Subcellular Location: Quantitative Description of Protein Localization Patterns and Automated Analysis of Fluorescence Microscope Images., , and . ISMB, page 251-259. AAAI, (2000)A Novel Graphical Model Approach to Segmenting Cell Images., , , and . CIBCB, page 1-8. IEEE, (2006)Efficient discovery of responses of proteins to compounds using active learning., , and . BMC Bioinform., (2014)Evaluation of methods for generative modeling of cell and nuclear shape., and . Bioinform., 35 (14): 2475-2485 (2019)Image content-based retrieval and automated interpretation of fluorescence microscope images via the protein subcellular location image database., , , and . ISBI, page 325-328. IEEE, (2002)Deformation-based nonlinear dimension reduction: Applications to nuclear morphometry., , , and . ISBI, page 500-503. IEEE, (2008)Automated comparison of protein subcellular location patterns between images of normal and cancerous tissues., , and . ISBI, page 304-307. IEEE, (2008)Automated Interpretation of Subcellular Location Patterns.. ISBI, page 53-56. IEEE, (2004)