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2020 – today
- 2023
[j5]Katrin Sophie Bohnsack
, Julius Voigt, Marika Kaden, Florian Heinke, Thomas Villmann:
Multi-proximity based embedding scheme for learning vector quantization-based classification of biochemical structured data. Neurocomputing 554: 126632 (2023)- [c8]Florian Heinke, Marie-Luise Heuschkel, Dirk Labudde:
Analysing Distributions of Feature Similarities in the Context of Digital Anthropometric Pattern Matching Probability. GI-Jahrestagung 2023: 573-582 - 2022
- [c7]Florian Heinke, Marie-Luise Heuschkel, Dirk Labudde:
A frequentist estimation of duplicate probability as a baseline for person identification from image and video material using anthropometric measurements. GI-Jahrestagung 2022: 91-98 - 2020
- [c6]Maik Benndorf, Gabriel Kind, Hanna Siewerts, Florian Heinke, Uwe Schneider:
Towards a better understanding of students in the entry phase of their studies. CSERC 2020: 3:1-3:7
2010 – 2019
- 2019
- [c5]Florian Heinke, Lars Hempel, Dirk Labudde:
A Novel Approach for Fast Protein Structure Comparison and Heuristic Structure Database Searching Based on Residue EigenRank Scores. BDAS 2019: 233-247 - 2017
- [j4]Christoph Leberecht, Florian Heinke, Dirk Labudde:
Simulation of diffusion using a modular cell dynamic simulation system. Silico Biol. 12(3-4): 129-142 (2017) - [c4]Florian Heinke, Rico Beier, Tommy Bergmann, Heiko Mixtacki, Dirk Labudde:
Novel Computational Techniques for Thin-Layer Chromatography (TLC) Profiling and TLC Profile Similarity Scoring. BDAS 2017: 373-385 - 2016
- [j3]Florian Heinke, Sebastian Bittrich, Florian Kaiser, Dirk Labudde:
SequenceCEROSENE: a computational method and web server to visualize spatial residue neighborhoods at the sequence level. BioData Min. 9: 6 (2016) - [c3]Sebastian Bittrich, Florian Heinke, Dirk Labudde:
eQuant - A Server for Fast Protein Model Quality Assessment by Integrating High-Dimensional Data and Machine Learning. BDAS 2016: 419-433 - [c2]Stefan Schildbach, Florian Heinke, Wolfgang Benn, Dirk Labudde:
Evaluation of Descriptor Algorithms of Biological Sequences and Distance Measures for the Intelligent Cluster Index (ICIx). BDAS 2016: 434-448 - 2015
- [c1]Florian Heinke, Daniel Stockmann, Stefan Schildbach, Mathias Langer, Dirk Labudde:
eProS - A Bioinformatics Knowledgebase, Toolbox and Database for Characterizing Protein Function. BDAS 2015: 575-584 - 2013
- [j2]Florian Heinke, Stefan Schildbach, Daniel Stockmann, Dirk Labudde:
eProS - a database and toolbox for investigating protein sequence-structure-function relationships through energy profiles. Nucleic Acids Res. 41(Database-Issue): 320-326 (2013) - 2012
- [j1]Florian Heinke, Dirk Labudde:
Membrane Protein Stability Analyses by Means of Protein Energy Profiles in Case of Nephrogenic Diabetes Insipidus. Comput. Math. Methods Medicine 2012: 790281:1-790281:11 (2012)
Coauthor Index
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