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Corrigendum to "Best match graphs".

David SchallerManuela GeißEdgar ChávezMarcos González LaffitteAlitzel López SánchezBärbel M R StadlerDulce I ValdiviaMarc HellmuthMaribel Hernández RosalesPeter F Stadler
Published in: Journal of mathematical biology (2021)
Two errors in the article Best Match Graphs (Geiß et al. in JMB 78: 2015-2057, 2019) are corrected. One concerns the tacit assumption that digraphs are sink-free, which has to be added as an additional precondition in Lemma 9, Lemma 11, Theorem 4. Correspondingly, Algorithm 2 requires that its input is sink-free. The second correction concerns an additional necessary condition in Theorem 9 required to characterize best match graphs. The amended results simplify the construction of least resolved trees for n-cBMGs, i.e., Algorithm 1. All other results remain unchanged and are correct as stated.
Keyphrases
  • machine learning
  • deep learning
  • adverse drug
  • heavy metals
  • quality improvement
  • electronic health record
  • drug induced