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Abgeschlossene Arbeiten

2026

Bsc Lisa Tran Discovering Subgroups of aSAH Patients Using Time Series Clustering
MSc Daniel Wiens Prediction of mechanical properties from tensile tests in cold rolled advanced high strength stee
BSc QBio Sara Kreci Quantifying Mitochondrial Connectivity from Electron Microscopy Images Using AI-Based Segmentation
BSc Daniel Thurau Skin Cancer Classification using Data-efficient Image Transformer
Bsc David Buczynski Evaluating the Feasible and Infeasible Region Search Algorithm for Anticlustering
BSc Max Mertens Assembly bakterieller Genome mit dem hierarchischen Overlap-Graphen

2025

BSc Johann Hagen Thormeyer Benchmarking Cell Type Prediction Methods for High-Plex Imaging Data
MSc Vinicius Sfredo Sokal Lima Multivariable optimization in non-woven fiber structures
BSc Federico Nellen Variable Valenzen in der chemischen Strukturgenerierung
BSc Lisa Becker Exploring Patient Outcomes in aSAH Using Unsupervised Machine Learning
BSc (QBio) Lolita Toma Antoon ClonoQuest: A Computational Pipeline for Analysis of Diversity and Clonality in B-cell and T-cell Receptor Repertoires
BSc (QBio) Sezin Dogan Cross-Cancer Profiling of an Allergy-Linked Immune Signature Using Publicly Available Multi-Omics and Prognostic Data
BSc Alexander Bergmann Zellcluster-Analyse anhand von Live-Cell-Imaging-Daten
MSc Felix Bartels DENCert - A density based approach to evaluating certainty of model outputs
MSc Maximilian Massing Generalized Species Counterpoint: A Constraint Programming Approach to Rule-Based Composition
BSc Julian Schnabel deepKEA: Site-Specific Kinase Enrichment for Phosphoproteomic Data
MSc Matthias Hoffjan Cell State Classification Using Neural Networks on Live-Cell Imaging Data
BSc Johanna Klaas Evaluating algorithms and objective functions for anticlustering
BSc Yijie Yao Clusteranalyse von Tumor-Bäumen mit der Generalized Robinson-Foulds Metrik und Vergleich mit OncoTree2Vec
BSc Simon Kerkmann From Data to Discovery: A Causal Discovery Pipeline for Biological Research
BSc Dennis Oliver Grzeschik Analyse der SCOPe40 Proteindatenbank mithilfe der "myopic MCES"-Distanz
BSc Fabian Raphael Riering Segmentation Quality Assessment: Analyzing the Performance of the Felzenszwalb and Huttenlocher Graph-Based Algorithm
MSc (Biology) Loukas Limistiras Exploring Silent Germline Mutations with Trio Whole-Exome Sequencing Data
BSc Lukas Bock Evaluating vector representations learned for common trajectory identification

2024

  • Extraction of structured data from medical records, Bachelorarbeit, Peter Carl Nicolas Gerlach
  • Anwendung zur Interaktiven Visualisierung von Cophosphorylierungsnetzwerken, Bachelorarbeit, Patrick Manuel Weinkauf
  • Evaluierung einer Flussheuristik für Steinernetzwerke, Bachelorarbeit, Lucy Annabel Lukosch
  • Identifying potential autophagy related biomarkers in diseases, Bachelorarbeit, Ann-Katrin Queisser
  • Anticlustering in R: An Efficient Constraint Programming Implementation, Bachelorarbeit, Nils Lüschow
  • Optimierung des Dose-Time-Response-Modells für Live-Cell Imaging Daten, Bachelorarbeit, Christian Berschauer
  • Greedy Algorithmen zur Platzierung von Ladestationen, Bachelorarbeit, Carl Constantin Wermann
  • Evaluating the three-phase search approach with dynamic population size for anticlustering, Bachelorarbeit, Hannah Hengelbrock
  • Logic-based Regression for Cancer Drug Response Prediction, Bachelorarbeit, Alexa Eckstein
  • Predicting Mortality Following Allogeneic Haematopoietic Stem Cell Transplantation Using Tree-based Classifiers, Masterarbeit, Rebecca Cristina Fröhlich
  • Featureless Prediction of Unconventional Protein Secretion, Masterarbeit, Jan van Grimbergen
  • A visualization of anticlustering as an app for Cytoscape, Bachelorarbeit, Tobias Pfeiffer
  • Implementation and Evaluation of Imputation Methods for Handling Missing Values in Clinical Time Series Data, Bachelorarbeit, Lucas Wefers
  • Ein graphentheoretischer Ansatz zur Optimierung von Epitop-basierten Impfstoffen mittels Hierarchical Overlap Graphs, Bachelorarbeit, Lennart Horney
  • An exact approach for train cargo scheduling, Bachelorarbeit, Ammon Sillah
  • Visualization Tool for the Geographical Distribution and Genetic Similarity of SARS-CoV-2 in Germany, Bachelorarbeit, Leon Theis
  • Evaluating algorithms for the alignment of brain connectome networks, Bachelorarbeit, Johannes Herchen
  • Establishing an Analysis Framework for Evaluating Live-Cell Image-Based Drug Screening Data, Masterarbeit, My Ky Huynh
  • Anticlustering unter Maximierung der Dispersion mit Constraint-Programmierung, Bachelorarbeit, Lars Schwabe

2023

  • Implementing a Biclustering Integer Linear Program and Application to Genomic Data, Bachelorarbeit, Markus Siemko
  • A Comparison of the Wavefront Algorithm and its Predecessors, Bachelorarbeit, Philippe Kreiß
  • An Investigation into Algorithmic Complexity as a Measure of Randomness, Bachelorarbeit, Tim Angelike
  • Vergleich von Datenstrukturen zum Ausdünnen von Punktmengen, Bachelorarbeit, Piet Leyendecker
  • Evaluating a normalized maximum common subgraph metric for the comparison of molecular structures, Bachelorarbeit, Henning Mitzinger
  • Design and Application of Graph Sampling Sets, Masterarbeit im Studiengang AI and Data Science, Christopher Orlowicz
  • Finding k-common fragments in molecular graphs using integer linear programming, Masterarbeit, Jonas Lauer
  • Predicting complications and survival time in patients with myelodysplastic syndromes using time-series based machine learning, Masterarbeit, Jonathan Bobak
  • Solving the train cargo routing problem with fixed scheduled lines using integer linear programming, Bachelorarbeit, Ammon Sillah
  • Maximizing dispersion for anticlustering, Bachelorarbeit, Max Diekhoff
  • Skin Cancer Classification Using Transfer Learning, Bachelorarbeit, Manuel Michels
  • Enrichment Analysis of Differentially Expressed microRNAs: An Application to Pancreatic Neoplasms, Masterarbeit, Sarah Schweier
  • Feature Selection mit Artificial Neural Networks für Krebsmedikament-Screening-Daten, Bachelorarbeit, Marvin Gooßens

2022

  • Feature extraction for machine learning of chronic pain using in-homogeneous time-series data from wearables, Masterarbeit im, Studiengang Molekulare Medizin, Jonas Kupschus
  • Predicting Clinical Outcome after Aneurysmal Subarachnoid Hemorrhage, Masterarbeit, Alberto Descalzo Garcia
  • Converting Truth Tables to Minimized Boolean Functions, Bachelorarbeit, Toni Nguyen
  • A Combinatorial Approach to MHC Class I and II Peptide Vaccine Design with Application to SARS-CoV-2, Masterarbeit, Sara Schulte
  • Correlation between Staphylococcal protein A types and geographic location, Bachelorarbeit, Nina Romanow
  • Feature Selection using Random Forest and Bootstrap Sampling on Cancer Drug Screening Data, Bachelorarbeit, Anahita Gorgipour
  • Developing an Interactive Visualization Tool for Pangenome Graphs, Masterarbeit, Yulian Martynovsky
  • An ILP Implementation for Predicting Drug Sensitivity in Cancer Cell Lines, Bachelorarbeit, Tomas Raising
  • Anomaly Detection in Current-Voltage Curves: A Data-Driven Approach, Bachelorarbeit, Carolin Winkels
  • Linearization of Genome Sequence Graphs using Integer Linear Programming, Bachelorarbeit, Christopher Schmitz
  • Optimisation problems for the reinforcement of telecommunication networks, Masterarbeit, Adrian Dominic Prinz
  • Solving Systematic Conservation Planning using Integer Linear Programming, Bachelorarbeit, Simon Schreinermacher
  • A Framework for General Purpose Solvers with an Application to Cluster Editing, Masterarbeit, Jan Höckesfeld
  • Vorhersagen von Komplikationen nach einer Subarachnoidalblutung anhand von Machine Learning Methoden, Bachelorarbeit, Viktoria Maria Blombach
  • Small-RNA sequencing analysis pipeline in Snakemake and comparison to Nextflow, Bachelorarbeit, Florian Radziej
  • Reproduktion und Erweiterung einer Evaluierungspipeline für Algorithmen zur Identifikation aktiver Module, Bachelorarbeit, Chiara Julia Berry
  • Identifying functional k-mers in genome sequences. Bachelorarbeit, Vincent Wilantara
  • Ähnlichkeitssuche chemischer Elemente mit dem Maximum-Common-Substructure-Verfahren, Bachelorarbeit, Luca Krahn
  • Ein Vergleich von zwei Pipelines zur Messung der Veränderung von mRNA-Abundanz aus Einzelzell-RNA-Sequenzierungsdaten, Bachelorarbeit im Studiengang Interdisziplinäre Naturwissenschaften, Jerrit Endom
  • A combinatorial approach for reconstructing rDNA repeats, Masterarbeit, Frederik Oehl
  • Solving Connected Dominating Set Variants Using SAT, Barchelorarbeit, Anas El Methari
  • Polynomial-time solvable special cases of anticlustering, Bachelorarbeit, Joshua Kokol
  • Cancer Type Classification Using a Logic Formulation, Bachelorarbeit, Hendrik Schmitt
  • Entwicklung eines Artificial Neural Network zur Erkennung der Wirksamkeit von Krebsmedikamenten, Bachelorarbeit, Torben Schmitz
  • Skiplisten für Punktaggregation im Datenstrom, Bachelorarbeit, Norman Bunk

2021

  • Einzelzell-RNA-Sequenzierungsanalyse mittels Scanpy – Ein Vergleich von Snakemake Workflows, Bachelorarbeit, Florian Mai
  • Entwicklung einer webbasierten Anwendung zur interaktiven Analyse klinischer Daten, Bachelorarbeit, Rebecca Fröhlich
  • Fast Maximum Common Edge Subgraph Computation for Comparing Similar Molecular Structures, Masterarbeit, Jan Seipp
  • A Comparison of Two Single-Cell RNA-Sequencing Analysis Pipelines using Snakemake, Bachelorarbeit, Pascal Meinhard
  • Aligning Optical Mapping Data to Genome Graphs, Masterarbeit, Laura Kühle
  • Konstruktion eines Planungsmodells für Aussaatzeiten unter Unsicherheit des tatsächlichen Erntezeitpunkts, Bachelorarbeit, Jan van Grimbergen
  • Solving Connected Dominating Set Variants Using Constraint Programming, Bachelorarbeit, Tim Pfalz
  • Snakemake as a workflow engine for reciprocal BLAST analyses, Bachelorarbeit, Lukas Becker
  • Logic models to classify cancer types based on tumor DNA samples, Masterarbeit, Nguyen Khoa Tran

2020

  • Aggregieren von gerichteten azyklischen Graphen unter Verwendung von ganzzahliger linearer Programmierung, Bachelorarbeit, Max Oerter
  • Using anticlustering to maximize diversity and dispersion: Comparing exact and heuristic approaches, Bachelorarbeit, Martin Breuer
  • Solving Connected Dominating Set Variants Using Integer Linear Programming, Bachelorarbeit, Mario Surlemont
  • Klassifizierung von Krebsarten durch Tumor-DNA mittels Support-Vektor-Maschinen und künstlichen neuronalen Netzen Bachelorarbeit, Roman Jumatov
  • Developing a Cytoscape app to solve k-cluster-editing using fast heuristics, Bachelorarbeit, Lukas Ettel
  • k-mer Based Typing of Methicillin-Resistant Staphylococcus Aureus, Masterarbeit, Philipp Spohr
  • Developing a Snakemake Workflow for Gene Set Enrichment Analysis, Bachelorarbeit, Lars Meinke
  • A user-friendly Snakemake pipeline for differential expression analysis, Bachelorarbeit, Julian Kremer
  • Solving the maximum allele co-occurrence problem for single individual haplotype phasing with Integer Linear Programming, Bachelorarbeit, Sarah Schweier
  • Automated Immunophenotyping of Multi-Experimental Flow Cytometry Data, Masterarbeit, Manuel Lentzen
  • Computing a Maximum Common Edge Subgraph of Two Molecular Graphs, Bachelorarbeit, Adrian Prinz
  • Das-Homo-Edit-Distanz-Problem, Bachelorarbeit, Maren Brand
  • Detection of somatic mutations and loss-of-heterozygosity events in a cohort of Glioblastoma patients, Bachelorarbeit, Sara Chantal Schulte
  • Applying trio phasing to identify germline de novo mutations in children with cancer, Bachelorarbeit, Frederik Oehl
  • Solving Dominating Set Using Answer Set Programming. Bachelorarbeit, My Ky Huynh
  • Evaluating different methods for aircraft boarding. Bachelorarbeit, Hao Tian
  • On a String Partitioning Problem. Bachelorarbeit, Michael Wulfert
  • Contig-Assembly der MHC-Region mittels kräftebasierter Verfahren, Bachelorarbeit, Jan Höckesfeld

2019

  • Contig-Assembly der MHC-Region mittels Linearer Programmierung, Bachelorarbeit, Marvin Lindemann
  • Learning partial charges, Masterarbeit, Jakob Schlegel
  • Vorhersage von Methicillin-resistenten Staphylococcus-aureus-Typen mittels Deep Learning, Bachelorarbeit, Andre Walter
  • Assignment of partial charges to identical atom neighborhoods of drug-like molecules, Bachelorarbeit, Richard Michael Geller
  • Solving the Maximum Weight Connected Subgraph Problem using Color Coding, Masterarbeit (VU Amsterdam), Eline van Mantgem
  • Lagrangian Relaxation for the Generalized Robinson-Foulds Metric, Bachelorarbeit, Laura Christine Kühle
  • Network analysis of heart infarction mice transcriptomes, Bachelorarbeit, Caroline Jachmann

2018

  • Bestimmung des HLA-Genotyps auf Basis von genomweiter Sequenzierung und k-mer-Häufigkeiten, Bachelorarbeit, Yulian Martynovsky
  • Creating similar item sets using integer linear programming with an application to questionnaire design in experimental psychology, Bachelorarbeit, Martin Papenberg
  • Cluster Editing mit ganzzahliger linearer Programmierung: eine Open-Source-Lösung,
    Bachelorarbeit, Martin Klümpen
  • Identifying significant targets of molecular fragments, Bachelorarbeit, Jonas Weber,
  • Enrichment-Analyse viral deregulierter Signalmodule in Glioblastom-Zelllinien, Bachelorarbeit, Jonas König
  • Das Maximum-Weight Connected Subgraph Problem auf Bäumen, Bachelorarbeit, Jan Seipp
  • Visualisation of atom groups in molecuar graphs, Bachelorarbeit, Gareth Bilaney
  • Pipeline zur Identifizierung funktionaler Module auf Basis von Onkoproteomikdaten, Bachelorarbeit, Anne Abraham
  • Identifying functional modules in Arabidopsis thaliana root development, Bachelorarbeit, Felix Grünewald

2017

  • Developing and evaluating a Cytoscape app for graph-based clustering, Bachelorarbeit, Philipp Spohr