Cluster analysis of replicated alternative polyadenylation data using canonical correlation analysis

Cluster analysis of replicated alternative polyadenylation data using canonical correlation analysis

Abstract Background Alternative polyadenylation (APA) has emerged as a pervasive mechanism that contributes to the transcriptome complexity and dynamics of gene regulation. The current tsunami of whole genome poly(A) site data from various conditions generated by 3′ end sequencing provides a valuabl...

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Bibliographic Details
Main Authors: Wenbin Ye, Yuqi Long, Guoli Ji, Yaru Su, Pengchao Ye, Hongjuan Fu, Xiaohui Wu
Format: Article
Language:English
Published: BMC 2019-01-01
Series:BMC Genomics
Subjects:
Alternative polyadenylation
Cluster analysis
Gene expression
Canonical correlation analysis
Network inference
Online Access:http://link.springer.com/article/10.1186/s12864-019-5433-7

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http://link.springer.com/article/10.1186/s12864-019-5433-7

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