EntropyExplorer: an R package for computing and comparing differential Shannon entropy, differential coefficient of variation and differential expression

详细信息    查看全文

• 作者：Kai Wang ; Charles A. Phillips ; Arnold M. Saxton ; Michael A. Langston
• 关键词：Differential Shannon entropy ; Differential coefficient of variation ; Differential expression ; Statistical tests
• 刊名：BMC Research Notes
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：8
• 期：1
• 全文大小：1,048 KB
• 刊物主题：Biomedicine general; Medicine/Public Health, general; Life Sciences, general;
• 出版者：BioMed Central
• ISSN：1756-0500

文摘

Background Differential Shannon entropy (DSE) and differential coefficient of variation (DCV) are effective metrics for the study of gene expression data. They can serve to augment differential expression (DE), and be applied in numerous settings whenever one seeks to measure differences in variability rather than mere differences in magnitude. A general purpose, easily accessible tool for DSE and DCV would help make these two metrics available to data scientists. Automated p value computations would additionally be useful, and are often easier to interpret than raw test statistic values alone.