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Improving knowledge on the activation of bone marrow fibroblasts in MGUS and MM disease through the automatic extraction of genes via a nonnegative matrix factorization approach on gene expression profiles.

Angelina BoccarelliFlavia EspositoMauro ColucciaMaria Antonia FrassanitoAngelo VaccaNicoletta Del Buono
Published in: Journal of translational medicine (2018)
The extracted biologically relevant genes may be representative of the considered clinical conditions and may contribute to a deeper understanding of tumor behavior.
Keyphrases
  • genome wide identification
  • genome wide
  • bone marrow
  • genome wide analysis
  • bioinformatics analysis
  • healthcare
  • mesenchymal stem cells
  • copy number
  • transcription factor
  • machine learning
  • neural network