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Characterization of the STARS (STochastic gene Activation with Regulated Sparseness) mouse line
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Functional circuitry underlying cross-modality integration and the development of a novel sparse labeling technique
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Efficient stochastic simulations of hydrogeological systems: from model complexity to data assimilation
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Slit/Robo signaling underlies the spatial patterning of spiral ganglion neurons to shape the peripheral auditory circuitry assembly
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Classification and retrieval of environmental sounds
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Parallel deterministic and stochastic optimization algorithms for computer vision
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Dimensionality reduction for classification with high-dimensional data
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Exploring complexity reduction in deep learning
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Spatial and quantitative mapping of caveolin-1 membrane nanodomains and their functional dynamic response to mechanosignaling cues
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Generative graph models subject to global similarity
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Theory and applications of hierarchical curve representation with wavelets
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Integrative approach of biological systems analysis on regulatory pathways, modules, protein essentialities, and disease gene classification
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Integrative genomic and epigenomic analysis of human cancer
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Network structures: graph theory, statistics, and neuroscience applications
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Pharmacokinetic/pharmacodynamic modeling for genetically polymorphic populations
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