Traveling on discrete embeddings of gene expression

作者：

Highlights：

• We comprehensively assess the counting grid (CG) model for gene expression analysis.

• Similar expression patterns are visualized and arranged close on a 2D discrete grid.

• The model permits to identify the genes that distinguish between classes.

• Effective signatures can be extracted for clustering and classification of samples.

摘要

Highlights•We comprehensively assess the counting grid (CG) model for gene expression analysis.•Similar expression patterns are visualized and arranged close on a 2D discrete grid.•The model permits to identify the genes that distinguish between classes.•Effective signatures can be extracted for clustering and classification of samples.

论文关键词：Data visualization,Bag of words clustering,Bag of words classification,Gene selection,Gene expression matrix

论文评审过程：Received 24 August 2015, Revised 20 May 2016, Accepted 21 May 2016, Available online 27 May 2016, Version of Record 2 June 2016.

论文官网地址：https://doi.org/10.1016/j.artmed.2016.05.002