Florian Heinke

13 papers Journal 5Unranked 8
YearRankTypeTitle / Venue / Authors
2023 — conf
Analysing Distributions of Feature Similarities in the Context of Digital Anthropometric Pattern Matching Probability.
GI-Jahrestagung
Florian Heinke, Marie-Luise Heuschkel, Dirk Labudde
2023 J jnl
Multi-proximity based embedding scheme for learning vector quantization-based classification of biochemical structured data.
Neurocomputing
Katrin Sophie Bohnsack, Julius Voigt, Marika Kaden, Florian Heinke, Thomas Villmann
2022 — conf
A frequentist estimation of duplicate probability as a baseline for person identification from image and video material using anthropometric measurements.
GI-Jahrestagung
Florian Heinke, Marie-Luise Heuschkel, Dirk Labudde
2020 — conf
Towards a better understanding of students in the entry phase of their studies.
CSERC
Maik Benndorf, Gabriel Kind, Hanna Siewerts, Florian Heinke, Uwe Schneider
2019 — conf
A Novel Approach for Fast Protein Structure Comparison and Heuristic Structure Database Searching Based on Residue EigenRank Scores.
BDAS
Florian Heinke, Lars Hempel, Dirk Labudde
2017 — conf
Novel Computational Techniques for Thin-Layer Chromatography (TLC) Profiling and TLC Profile Similarity Scoring.
BDAS
Florian Heinke, Rico Beier, Tommy Bergmann, Heiko Mixtacki, Dirk Labudde
2017 J jnl
Simulation of diffusion using a modular cell dynamic simulation system.
Silico Biol.
Christoph Leberecht, Florian Heinke, Dirk Labudde
2016 — conf
Evaluation of Descriptor Algorithms of Biological Sequences and Distance Measures for the Intelligent Cluster Index (ICIx).
BDAS
Stefan Schildbach, Florian Heinke, Wolfgang Benn, Dirk Labudde
2016 J jnl
SequenceCEROSENE: a computational method and web server to visualize spatial residue neighborhoods at the sequence level.
BioData Min.
Florian Heinke, Sebastian Bittrich, Florian Kaiser, Dirk Labudde
2016 — conf
eQuant - A Server for Fast Protein Model Quality Assessment by Integrating High-Dimensional Data and Machine Learning.
BDAS
Sebastian Bittrich, Florian Heinke, Dirk Labudde
2015 — conf
eProS - A Bioinformatics Knowledgebase, Toolbox and Database for Characterizing Protein Function.
BDAS
Florian Heinke, Daniel Stockmann, Stefan Schildbach, Mathias Langer, Dirk Labudde
2013 J jnl
eProS - a database and toolbox for investigating protein sequence-structure-function relationships through energy profiles.
Nucleic Acids Res.
Florian Heinke, Stefan Schildbach, Daniel Stockmann, Dirk Labudde
2012 J jnl
Membrane Protein Stability Analyses by Means of Protein Energy Profiles in Case of Nephrogenic Diabetes Insipidus.
Comput. Math. Methods Medicine
Florian Heinke, Dirk Labudde