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蛋白质功能预测问题本质上是一个多标签分类问题，但庞大的功能标签数量使得各种多标签分类器在蛋白质功能预测中的应用面临巨大挑战。本文针对蛋白质功能标签数量庞大且标签关联性较高的特点，提出了一种基于布尔矩阵分解的蛋白质功能预测框架(PFP-BMD)。
基于布尔矩阵分解的蛋白质功能预测框架(10)
【摘 要】
：
蛋白质功能预测问题本质上是一个多标签分类问题，但庞大的功能标签数量使得各种多标签分类器在蛋白质功能预测中的应用面临巨大挑战。本文针对蛋白质功能标签数量庞大且标签关联性较高的特点，提出了一种基于布尔矩阵分解的蛋白质功能预测框架(PFP-BMD)。
【出 处】
：
第二届中国计算机学会生物信息学会议
【发表日期】
：
2017年10期
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