Membrane Protein Stability Analyses by Means of Protein Energy Profiles in Case of Nephrogenic Diabetes Insipidus. - Florian Heinke; Dirk Labudde (Comput. Math. Methods Medicine, 2012)

eProS - a database and toolbox for investigating protein sequence-structure-function relationships through energy profiles. - Florian Heinke; Stefan Schildbach; Daniel Stockmann; Dirk Labudde (Nucleic Acids Res., 2013)

eProS - A Bioinformatics Knowledgebase, Toolbox and Database for Characterizing Protein Function. - Florian Heinke; Daniel Stockmann; Stefan Schildbach; Mathias Langer; Dirk Labudde (BDAS, 2015)

eQuant - A Server for Fast Protein Model Quality Assessment by Integrating High-Dimensional Data and Machine Learning. - Sebastian Bittrich; Florian Heinke; Dirk Labudde (BDAS, 2016)

Evaluation of Descriptor Algorithms of Biological Sequences and Distance Measures for the Intelligent Cluster Index (ICIx). - Stefan Schildbach; Florian Heinke; Wolfgang Benn; Dirk Labudde (BDAS, 2016)

SequenceCEROSENE: a computational method and web server to visualize spatial residue neighborhoods at the sequence level. - Florian Heinke; Sebastian Bittrich; Florian Kaiser; Dirk Labudde (BioData Min., 2016)

Novel Computational Techniques for Thin-Layer Chromatography (TLC) Profiling and TLC Profile Similarity Scoring. - Florian Heinke; Rico Beier; Tommy Bergmann; Heiko Mixtacki; Dirk Labudde (BDAS, 2017)

Simulation of diffusion using a modular cell dynamic simulation system. - Christoph Leberecht; Florian Heinke; Dirk Labudde (Silico Biol., 2017)

A Novel Approach for Fast Protein Structure Comparison and Heuristic Structure Database Searching Based on Residue EigenRank Scores. - Florian Heinke; Lars Hempel; Dirk Labudde (BDAS, 2019)

Towards a better understanding of students in the entry phase of their studies. - Maik Benndorf; Gabriel Kind; Hanna Siewerts; Florian Heinke; Uwe Schneider (CSERC, 2020)

A frequentist estimation of duplicate probability as a baseline for person identification from image and video material using anthropometric measurements. - Florian Heinke; Marie-Luise Heuschkel; Dirk Labudde (GI-Jahrestagung, 2022)

Analysing Distributions of Feature Similarities in the Context of Digital Anthropometric Pattern Matching Probability. - Florian Heinke; Marie-Luise Heuschkel; Dirk Labudde (GI-Jahrestagung, 2023)

Multi-proximity based embedding scheme for learning vector quantization-based classification of biochemical structured data. - Katrin Sophie Bohnsack; Julius Voigt; Marika Kaden; Florian Heinke; Thomas Villmann (Neurocomputing, 2023)