50 research outputs found

    Relationship of Mammographic Density and Gene Expression: Analysis of Normal Breast Tissue Surrounding Breast Cancer

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    Previous studies of breast tissue gene expression have demonstrated that the extratumoral microenvironment has substantial variability across individuals, some of which can be attributed to epidemiologic factors. To evaluate how mammographic density (MD) and breast tissue composition relate to extratumoral microenvironment gene expression, we used data on 121 breast cancer patients from the population-based Polish Women's Breast Cancer Study

    Effects of Tumor Microenvironment Heterogeneity on Nanoparticle Disposition and Efficacy in Breast Cancer Tumor Models

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    Tumor cells are surrounded by a complex microenvironment. The purpose of our study was to evaluate the role of heterogeneity of the tumor microenvironment in the variability of nanoparticle (NP) delivery and efficacy

    Behavioral genetics and taste

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    This review focuses on behavioral genetic studies of sweet, umami, bitter and salt taste responses in mammals. Studies involving mouse inbred strain comparisons and genetic analyses, and their impact on elucidation of taste receptors and transduction mechanisms are discussed. Finally, the effect of genetic variation in taste responsiveness on complex traits such as drug intake is considered. Recent advances in development of genomic resources make behavioral genetics a powerful approach for understanding mechanisms of taste

    The Use of Java in High Performance Computing: A Data Mining Example

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    . The role of Java in high performance computing is discussed with particular reference to the efforts of the Java Grande Forum to develop Java into the environment of choice for large-scale, resourcehungry applications. The support provided in HPJava for the design of parallel Java programmes is outlined, and its use demonstrated with a data mining application based on a neural network. Keywords: Java Grande, High Performance Java, Parallel Computing, Neural Networks, Distributed Objects 1 Introduction High performance computing (HPC) refers to any application that is sufficiently large-scale to require more computing resources than are typically directly available on a desk-top computer. This includes, but is by no means limited to, (1) numerical computing applications in the physical sciences, engineering, and mathematics; (2) commercial applications such as data mining and financial modelling; (3) immersive virtual environments for training, simulation, and the exploration ..
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