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Updated: May 25, 2026

Profiling of Estrogen-regulated MicroRNAs in Breast Cancer Cells
Published on: February 21, 2014
Analyzing mRNA and microRNA co-expression profiles to identify pathways and their potential regulators in ER+ and ER-
Lei Huang1, Damian Roqueiro, Yang Dai
1Department of Bioengineering, University of Illinois, Chicago MC063, Chicago, IL60607, USA. lhuang7@uic.edu
Abstract:
Transcription factors and microRNAs are both considered pivotal regulators of gene expression. Numerous computational methods have been developed to predict their targets. These methods, although powerful, provide a static snapshot of how genes may be regulated by transcription factors and microRNAs. We propose a method that combines these prediction data with co-expression analysis and a supervised learning algorithm to determine the main regulators in different pathways of ER+ and ER- tumors.
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