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A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks.

Elisabetta SautaAndrea DemartiniFrancesca VitaliAlberto RivaRiccardo Bellazzi
Published in: BMC Bioinform. (2020)
Keyphrases
  • data fusion
  • regulatory networks
  • genome wide
  • high throughput
  • transcription factors
  • microarray
  • component analysis
  • real time
  • machine learning
  • gene expression data
  • gene regulatory networks