C-CorA: A Cluster-Based Method for Correlation Analysis of RNA-Seq Data

• Published in: Horticulturae Vol. 8; no. 2; p. 124
• Main Authors: Qian, Jianpu, Liu, Wenli, Shi, Yanna, Zhang, Mengxue, Wu, Qingbiao, Chen, Kunsong, Chen, Wenbo
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.02.2022
• Subjects: Algorithms; Cluster analysis; Clustering; Correlation analysis; correlation calculation; Correlation coefficient; Correlation coefficients; Data analysis; Data correlation; fruit quality; Fruits; Gene expression; Genes; Heat treatment; Heat treatments; lignification; Lignin; Low temperature; Mathematical analysis; Phenotypes; Ribonucleic acid; RNA; RNA-Seq; Transcription factors; United States > US

Correlation analysis is a routine method of biological data analysis. In the process of RNA-Seq analysis, differentially expressed genes could be identified by calculating the correlation coefficients in the comparison of gene expression vs. phenotype or gene expression vs. gene expression. However,...