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Characterizing the heterogeneity of tumor tissues from spatially resolved molecular measures.

John F GrafMaria I Zavodszky
Published in: PloS one (2017)
MOHA provides a simple and robust approach to characterize molecular and spatial heterogeneity of tissues. Research projects that generate spatially resolved tissue imaging data can take full advantage of this useful technique. The MOHA algorithm is implemented as a freely available R script (see supplementary information).
Keyphrases
  • single cell
  • gene expression
  • high resolution
  • machine learning
  • single molecule
  • deep learning
  • quality improvement
  • electronic health record
  • healthcare
  • fluorescence imaging
  • social media
  • neural network