A Generalized Approach for Measuring Relationships Among Genes

作者：Lijun, Wang; Md. Asif, Ahsan; Ming, Chen

来源：Journal of Integrative Bioinformatics, 2017, 14(3).

DOI：10.1515/jib-2017-0026

<jats:title>Abstract</jats:title><jats:p>Several methods for identifying relationships among pairs of genes have been developed. In this article, we present a generalized approach for measuring relationships between any pairs of genes, which is based on statistical prediction. We derive two particular versions of the generalized approach, least squares estimation (LSE) and nearest neighbors prediction (NNP). According to mathematical proof, LSE is equivalent to the methods based on correlation; and NNP is approximate to one popular method called the maximal information coefficient (MIC) according to the performances in simulations and real dataset. Moreover, the approach based on statistical prediction can be extended from two-genes relationships to multi-genes relationships. This application would help to identify relationships among multi-genes.</jats:p>

• 出版日期2017-7-21
• 单位浙江大学