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Subgroup detection in genotype data using invariant coordinate selection.

Daniel FischerMervi HonkatukiaMaria Tuiskula-HaavistoKlaus NordhausenDavid CaveroRudolf PreisingerJohanna Vilkki
Published in: BMC bioinformatics (2017)
The ICS method was able to detect subgroups in data where the PCA fails to detect anything. Hence, we promote the application of ICS to high-throughput genotype data in addition to the established PCA. Especially in statistical programming environments like e.g. R, its application does not add any computational burden to the analysis pipeline.
Keyphrases
  • electronic health record
  • high throughput
  • big data
  • single cell
  • label free
  • double blind