Biclustering of human cancer microarray data using co-similarity based co-clustering

作者：

Highlights：

• We propose a novel technique for finding biclusters in gene expression data.

• We propose a simple yet effective method for automatically determining discriminating biclusters.

• Our proposed method is robust to noise in the data.

• We evaluate the empirical and biological significance of our extracted biclusters with biological processes.

摘要

•We propose a novel technique for finding biclusters in gene expression data.•We propose a simple yet effective method for automatically determining discriminating biclusters.•Our proposed method is robust to noise in the data.•We evaluate the empirical and biological significance of our extracted biclusters with biological processes.

论文关键词：Biclustering,Co-clustering,Microarray analysis,Hierarchical clustering

论文评审过程：Received 11 February 2016, Accepted 16 February 2016, Available online 26 February 2016, Version of Record 15 March 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.02.029