User profiles for Manuela Geiß

Manuela Geiß

Software Competence Center Hagenberg GmbH (SCCH)
Verified email at scch.at
Cited by 274

Reconstructing gene trees from Fitch's xenology relation

M Geiß, J Anders, PF Stadler, N Wieseke… - Journal of mathematical …, 2018 - Springer
Two genes are xenologs in the sense of Fitch if they are separated by at least one horizontal
gene transfer event. Horizonal gene transfer is asymmetric in the sense that the transferred …

[HTML][HTML] Best match graphs

M Geiß, E Chávez, M González Laffitte… - Journal of mathematical …, 2019 - Springer
Best match graphs arise naturally as the first processing intermediate in algorithms for
orthology detection. Let T be a phylogenetic (gene) tree T and $$\sigma $$ σ an assignment of …

[HTML][HTML] Best match graphs and reconciliation of gene trees with species trees

M Geiß, MEG Laffitte, AL Sánchez, DI Valdivia… - Journal of mathematical …, 2020 - Springer
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 of …

[HTML][HTML] Complete characterization of incorrect orthology assignments in best match graphs

D Schaller, M Geiß, PF Stadler, M Hellmuth - Journal of mathematical …, 2021 - Springer
… in simulated data Geiß et al. (2020b). Here, we extend the results of Geiß et al. (2020b) to
a complete characterization of false-positive orthology assignments for a given BMG. …

Reciprocal best match graphs

M Geiß, PF Stadler, M Hellmuth - Journal of mathematical biology, 2020 - Springer
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. …

[HTML][HTML] From pairs of most similar sequences to phylogenetic best matches

PF Stadler, M Geiß, D Schaller… - Algorithms for Molecular …, 2020 - Springer
Background Many of the commonly used methods for orthology detection start from mutually
most similar pairs of genes (reciprocal best hits) as an approximation for evolutionary most …

IndustrialEdgeML-End-to-end edge-based computer vision systemfor Industry 5.0

…, M Matuschek, P Knaack, M Zwick, M Geiß - Procedia Computer …, 2023 - Elsevier
State-of-the-art object detection methods gain increasing attention in various industrial
applications. However, current vision systems typically rely on cloud services for data storage and …

Activity of Single Insect Olfactory Receptors Triggered by Airborne Compounds Recorded in Self-Assembled Tethered Lipid Bilayer Nanoarchitectures

…, U Ramach, B Schuster, M Geiß… - … Applied Materials & …, 2023 - ACS Publications
Membrane proteins are among the most difficult to study as they are embedded in the cellular
membrane, a complex and fragile environment with limited experimental accessibility. To …

[HTML][HTML] Corrigendum to “Best match graphs”

D Schaller, M Geiß, E Chávez… - Journal of Mathematical …, 2021 - Springer
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 …

[HTML][HTML] Automatic bounding box annotation with small training datasets for industrial manufacturing

M Geiß, R Wagner, M Baresch, J Steiner, M Zwick - Micromachines, 2023 - mdpi.com
In the past few years, object detection has attracted a lot of attention in the context of human–robot
collaboration and Industry 5.0 due to enormous quality improvements in deep …