Deconvolution of “big data” in cancer genomics: from pancancer level to single cells. In Computer Technologies and Data Analysis (CTDA'2020) : Materials of II International Scientific-Practical Conference, Minsk, 23-24 April, 2020. (Book Chapter)

  • Multiomics Data Science
  • Computational Biomedicine
  • Quantitative Biology Unit
July 09, 2020 By:
  • Chepeleva M
  • Wang Y
  • Kakoichankava A
  • Muller A
  • Kaoma T
  • Nazarov PV.

Large genomics pan-cancer datasets that were made publically available in the last decade are now complemented with measurements at single cell level and may include up to a billion data points. Here we show how deconvolution method based on independent component analysis can process transcriptomes measured for bulk samples at pan-cancer level and for single-cell measurements from normal tissues and neoplasia

2020 Jul. Bishkek VA and Skakun V, eds. Minsk: BSU, 2020. p.7-11. ISBN 978-985-566-942-6.
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