基于网络约束双聚类的癌症亚型分类(76)

来源 :第二届中国计算机学会生物信息学会议 | 被引量 : 0次 | 上传用户：dimitrilyyl

【摘要】

：

利用双聚类算法在大规模基因表达数据上进行聚类分析可以发现不同的癌症亚型,结合基因网络数据可以提高癌症亚型分类的准确度。已有整合网络的双聚类算法通常仅基于基因的度加权选择基因,易受网络中噪声互作的干扰和缺失互作的误导。为此,本文提出了一种基于基因网络正则化的双聚类算法(Network Regularized Bi-Clustering algorithm,NetRBC)。

【作者】

：

Xing Wang Jun Wang Guoxian Yu Maozu Guo

【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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基于网络约束双聚类的癌症亚型分类(76)

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