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Exact transcript quantification over splice graphs.

Cong MaHongyu ZhengCarl Kingsford
Published in: Algorithms for molecular biology : AMB (2021)
We propose a new approach for graph quantification, which is useful for modeling scenarios where reference transcriptome is incomplete or not available and can be further used in transcriptome assembly or alternative splicing analysis.
Keyphrases
  • rna seq
  • single cell
  • genome wide
  • gene expression
  • climate change
  • density functional theory
  • convolutional neural network
  • deep learning