Published December 10, 2021 | Version v1
Dataset Open

EnGRaiN : A Supervised Ensemble Learning Method for Recovery of Large-scale Gene Regulatory Networks

Authors/Creators

  • 1. Georgia Institute of Technology
  • 2. Microsoft

Description

EnGRaiN is a supervised machine learning method to construct ensemble networks. To benefit from the typical accuracy advantages of supervised learning methods while taking into account the impossibility of knowing true networks for training, we devised a method that uses small training datasets of true positives and true negatives among gene pairs.

The datasets used to evaluate the performance of EnGaiN include (i) simulated datasets generated from Yeast networks and (ii) A. thaliana gene expression datasets.

Notes

Funding: This work is supported in part by the National Science Foundation under IIS-1841351 Related publication DOI: 10.1093/bioinformatics/btab829

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Additional details

Related works

Is cited by
Journal article: 10.1093/bioinformatics/btab829 (DOI)