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A scalable algorithm for structure identification of complex gene regulatory network from temporal expression data.

Shupeng GuiAndrew P RiceRui ChenLiang WuJi LiuHongyu Miao
Published in: BMC bioinformatics (2017)
The proposed algorithm is the first scalable method for large complex network structure identification. The GRN structure identified by our algorithm could reveal possible biological links and help researchers to choose which gene functions to investigate in a biological event. The algorithm described in this article is implemented in MATLAB Ⓡ , and the source code is freely available from https://github.com/Hongyu-Miao/DMI.git .
Keyphrases
  • machine learning
  • deep learning
  • genome wide
  • neural network
  • poor prognosis
  • big data
  • artificial intelligence
  • copy number
  • gene expression
  • dna methylation
  • single cell
  • transcription factor