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Manuela Geiß

20 papers hereh-index 11300 citations30 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author7
  • middle author11
  • last author1

Across the 19 of 20 papers where every author was matched, so the position is known.

fields
  • q-bio.PE5
  • math.CO4
  • cs.DM3
  • cs.CV2
  • cs.DS2
  • cs.LG2

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedBest Match Graphs

24 citations · 33 across the 12 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CC2019

Complexity of Modification Problems for Reciprocal Best Match Graphs

Marc Hellmuth, Manuela Geiß, Peter F. Stadler

Reciprocal best match graphs (RBMGs) are vertex colored graphs whose vertices represent genes and the colors the species where the genes reside. Edges identify pairs of genes that…

math.CO2019★ 1 cited

Hierarchical Colorings of Cographs

D. I. Valdivia, M. Geiß, M. Hellmuth +2

Cographs are exactly hereditarily well-colored graphs, i.e., the graphs for which a greedy coloring of every induced subgraph uses only the minimally necessary number of colors $χ(…

q-bio.PE2019

Best Match Graphs and Reconciliation of Gene Trees with Species Trees

Manuela Geiß, Marcos E. González, Alitzel López Sánchez +4

A wide variety of problems in computational biology, most notably the assessment of orthology, are solved with the help of reciprocal best matches. Using an evolutionary definition…

q-bio.PE2019

Reciprocal Best Match Graphs

Manuela Geiß, Peter F. Stadler, Marc Hellmuth

Reciprocal best matches play an important role in numerous applications in computational biology, in particular as the basis of many widely used tools for orthology assessment. Nev…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.