利用PATSUB+寻找基因相干模式

H. A. Ahmed, P. Mahanta, D. Bhattacharyya
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引用次数: 0

摘要

本文提出了一种模式辅助子空间聚类算法(PATSUB+)来寻找基因表达数据中生物学相关的共表达模式。该算法使用NMRS(归一化平均残差相似度)度量在相对表达域上迭代工作,它发现了一组可能重叠的基因表达矩阵子空间簇。PATSUB+在几个真实的基因表达数据集上进行了测试,并与几种竞争算法进行了比较,结果令人满意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Finding gene coherent patterns using PATSUB+
This paper presents a pattern aided subspace clustering algorithm (PATSUB+) to find biologically relevant coexpressed patterns in gene expression data. The algorithm works iteratively over a relative expression domain using NMRS (Normalized Mean Residue Similarity) measure, it discovers a set of possibly overlapping subspace clusters for any gene expression matrix. PATSUB+ performs satisfactorily while tested on several real life gene expression datasets and compared with several competing algorithms.
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