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Astronomical algorithms for automated analysis of tissue protein expression in breast cancer

机译:自动分析乳腺癌组织蛋白表达的天文算法

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Background:High-throughput evaluation of tissue biomarkers in oncology has been greatly accelerated by the widespread use of tissue microarrays (TMAs) and immunohistochemistry. Although TMAs have the potential to facilitate protein expression profiling on a scale to rival experiments of tumour transcriptomes, the bottleneck and imprecision of manually scoring TMAs has impeded progress.
机译:背景:通过广泛使用组织微阵列(TMA)和免疫组织化学技术,极大地加速了肿瘤中组织生物标志物的高通量评估。尽管TMA有潜力在规模上促进蛋白质表达谱分析,可与肿瘤转录组实验相抗衡,但手动评分TMA的瓶颈和不精确性阻碍了进展。

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